Available to hire
Hi, I’m Shahriar Moradi, a Senior AI Engineer with 7+ years of experience leading AI initiatives across SaaS and enterprise platforms. I specialize in Generative AI, LLMs, and intelligent agents, and I’ve built AI-powered search, RAG systems, and conversational agents that scale across millions of records to improve user experience.
I have hands-on experience with cloud deployments (GCP, AWS, Bedrock), API orchestration, and microservices to operationalize LLM applications. I enjoy collaborating with product, data, and software teams to align AI delivery with business goals and to transform cutting-edge research into production-ready solutions for finance, government, and enterprise clients.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
German
Beginner
Work Experience
AI Team Lead at Rocasoft Dubai
August 1, 2025 - PresentCollaborated with product managers and CTO to translate business requirements into AI-driven solutions, aligning technology with strategic goals. Built scalable ML pipelines for large-scale data ingestion and preprocessing, while establishing enterprise MLOps practices for monitoring, evaluation, and governance to ensure reliable and compliant AI deployments. Led a cross-functional AI team to architect, design, and deliver end-to-end LLM and ML solutions from research and prototyping through production deployment.
AI Team Lead at Rocasoft Dubai
August 1, 2025 - PresentLed a cross-functional AI team (ML engineers, data scientists, and software developers) to architect and deliver end-to-end LLM and ML solutions, translating business requirements into AI-driven products in collaboration with product managers and CTO. Established enterprise MLOps practices for monitoring, evaluation, and governance, and built scalable pipelines for large-scale data ingestion and preprocessing.
AI Team Lead at Rocasoft
August 1, 2025 - PresentLed AI initiatives in collaboration with product managers and the CTO to translate business requirements into AI-driven solutions. Built scalable ML pipelines for large-scale data ingestion and preprocessing, established enterprise MLOps practices for monitoring, evaluation, and governance, and ensured reliable, compliant deployments. Directed a cross-functional AI team (ML engineers, data scientists, software developers) to architect and deliver end-to-end LLM/ML solutions from research to production.
AI Team Lead at Rocasoft
August 1, 2025 - PresentLed a cross-functional AI team (ML engineers, data scientists, software developers) to architect and deliver end-to-end LLM and ML solutions, translating business requirements into AI-driven platforms. Built scalable ML pipelines for large-scale data ingestion and preprocessing while establishing enterprise MLOps practices for monitoring, evaluation, and governance to ensure reliable and compliant AI deployments.
AI Team Lead at Rocasoft
August 1, 2025 - PresentLed AI initiatives by translating business requirements into AI-driven solutions, built scalable ML pipelines for large-scale data ingestion, and established enterprise MLOps for monitoring, evaluation, and governance. Spearheaded a cross-functional AI team to architect and deliver end-to-end LLM and ML solutions from R&D to production deployment.
AI Team Lead at Rocasoft
August 1, 2025 - PresentLed a cross-functional AI team (ML engineers, data scientists, software developers) to architect and deliver end-to-end LLM and ML solutions, from research and prototyping through production deployment. Collaborated with product managers and the CTO to translate business requirements into AI-driven solutions, aligning technology with strategic goals. Built scalable ML pipelines for large-scale data ingestion and preprocessing, and established enterprise MLOps practices for monitoring, evaluation, and governance to ensure reliable and compliant deployments.
Senior AI Engineer at Abantether
July 31, 2025 - September 15, 2025Built an LLM-powered AI agent to automate transactional workflows in WhatsApp chats and end-to-end workflows for an exchange software platform. Reduced manual intervention and improved response times by 50%. Implemented Vision-Language Models (VLMs) with CLIP and SAM for data extraction and OCR, and developed a transformer-based anomaly detection system to identify fraudulent activities.
Senior AI Engineer at Abantether
July 31, 2025 - September 15, 2025Built an LLM-powered AI agent to automate transactional workflows in WhatsApp chats for an exchange software platform, enabling end-to-end automation from intent recognition to confirmation. Improved customer experience by reducing manual intervention and cutting response times by 50%. Implemented Vision-Language Models and image processing (CLIP, SAM) for data extraction and OCR. Developed an anomaly detection system leveraging transformer-based models to detect fraudulent activities in transactions.
Senior AI Engineer at Abantether
July 1, 2025 - September 17, 2025Built an LLM-powered AI agent using the OpenAI Agent library to automate transactional workflows in WhatsApp chats and end-to-end workflows for an exchange software platform. Enhanced customer experience by reducing manual intervention and improving response times by 50%, enabling hands-free conversational interactions. Implemented Vision-Language Models (VLMs) and image processing (CLIP, SAM) for data extraction and OCR. Developed an anomaly detection system leveraging transformer-based models to identify fraudulent and phishing activities within exchange transactions, improving detection accuracy and reducing false positives.
Senior AI Engineer at Abantether Dubai
July 1, 2025 - September 15, 2025Built an LLM-powered AI agent to automate transactional workflows in WhatsApp chats for an exchange software platform, reducing manual intervention and improving response times by 50%, enabling hands-free conversational interactions. Implemented Vision-Language Models (CLIP, SAM) for data extraction and OCR, and developed an anomaly detection system to identify fraud with transformer-based models, reducing false positives.
Senior AI Engineer at Abantether
July 1, 2025 - September 15, 2025Built an LLM-powered AI agent to automate transactional workflows (intent recognition to confirmation) in WhatsApp chats and end-to-end workflows for an exchange software platform. Improved customer experience by reducing manual intervention and cutting response times by 50%, enabling hands-free conversational interactions. Implemented Vision-Language Models (CLIP, SAM) for data extraction and OCR, and developed an anomaly detection system using transformer-based models to identify fraudulent activities, significantly improving detection accuracy and reducing false positives.
Senior AI Engineer at Abantether
July 1, 2025 - September 15, 2025Built an LLM-powered AI agent using the OpenAI Agent library to automate transactional workflows (from intent recognition to confirmation) in WhatsApp chats and automate end-to-end workflows for an exchange software platform. Enhanced customer experience by reducing manual intervention and improving response times by 50%. Implemented Vision-Language Models (CLIP, SAM) for data extraction and OCR, and developed an anomaly detection system leveraging transformer-based models to identify fraudulent activities within transactions.
Senior AI Engineer at Golden Net (Dubai)
March 31, 2025 - July 23, 2025Executed hyperparameter tuning and utilized cloud technologies such as S3, EC2, and SageMaker in AWS for training and fine-tuning models to enhance performance and deployment. Optimized data-science workflows processing over 1 million records by automating validation and continuous model tuning, which elevated data quality and predictive accuracy. Leveraged NoSQL databases and caching mechanisms to improve system performance. Significantly enhanced search accuracy using Elasticsearch and LLM models with OpenAI APIs. Developed AI agents using LLMs for natural language understanding and customer intent classification to improve task automation. Fine-tuned Vision-Language Models for data extraction and OCR applications. Collaborated with business stakeholders to define problem statements, strategy, and uncover actionable business benefits while providing technical insights and timeline estimates.
Senior AI Engineer at Golden Net (Dubai)
March 31, 2025 - July 23, 2025Executed hyperparameter tuning and utilized AWS cloud technologies including S3, EC2, and SageMaker for training and fine-tuning models to enhance model performance and deployment. Automated validation and continuous model tuning for workflows processing over 1 million records, improving data quality and predictive accuracy. Leveraged NoSQL databases like MongoDB for real-time content sorting and integrated Redis caching to reduce query times by 10%. Enhanced search accuracy 2X over 5 million data sets using Elasticsearch combined with LLM models and OpenAI APIs. Developed AI agent assistants using LLMs for natural language understanding and customer action recognition. Fine-tuned Vision-Language Models such as CLIP, BLIP, and SAM for data extraction and OCR. Collaborated with business stakeholders to define problem statements, strategy, and provide technical insights with timeline estimates.
Senior AI Engineer at Golden Net
March 31, 2025 - July 23, 2025Executed hyperparameter tuning and utilized AWS cloud services such as S3, EC2, and SageMaker for training and fine-tuning AI models to enhance performance and deployment. Automated validation and continuous model tuning on workflows processing over 1 million records, elevating data quality and predictive accuracy. Leveraged MongoDB and Redis to optimize real-time content sorting systems and reduce query response times by 10%. Improved search accuracy by 2X across 5 million complex data sets using Elasticsearch combined with LLM models and OpenAI APIs. Developed AI agents and assistants using large language models for natural language understanding and customer intent classification, enhancing task automation. Fine-tuned vision-language models like CLIP, BLIP, and SAM for data extraction and OCR applications. Collaborated with business stakeholders to define problem statements and uncover actionable business benefits while providing technical insights and accurate timeline estimates.
Senior AI Engineer at Gov - GPT(Golden Net)
October 31, 2024 - September 15, 2025Drove AI-powered improvements including a hybrid search with Elasticsearch to double document retrieval efficiency. Fine-tuned and integrated LLMs for classification and summarization, reducing processing time by 20%. Built an AI agent for natural language understanding and intent recognition to automate tasks and integrated end-to-end workflows to cut manual effort by 50%.
AI Engineer at Gov - GPT(Golden Net)
October 31, 2024 - September 15, 2025Boosted search accuracy by 2x with an AI-powered hybrid search system using Elasticsearch to enhance document retrieval efficiency over traditional keyword search, using LLMs to maintain scalable indexing, retrieval, and query processing across 1M+ complex data sets. Automated classification and summarization by fine-tuning and integrating large language models for specific use cases (GPT, BERT, T5). Developed an AI agent for advanced natural language understanding and customer action recognition to integrate LLM-based AI agents into real-world customer intents. Automated end-to-end application workflows, significantly reducing manual effort and processing time for end users.
AI Engineer at Gov - GPT(Golden Net)
October 1, 2024 - September 17, 2025Boosted 2X search accuracy using an AI-powered hybrid search system with Elasticsearch to enhance document retrieval efficiency over traditional keyword search, using LLM models to maintain scalable indexing, retrieval, and query processing across 1M+ complex data sets. Automated classification and summarization by fine-tuning and integrating large language models for specific use cases, reducing time by 20%. Developed an AI agent and assistant using LLMs for advanced natural language understanding and customer action recognition to improve task automation. Automated end-to-end application workflow, from document discovery to submission, cutting manual effort and processing time by 50%.
AI Engineer at Gov - GPT(Golden Net)
October 1, 2024 - September 15, 2025Boosted 2x search accuracy using an AI-powered hybrid search system with Elasticsearch to enhance document retrieval efficiency over traditional keyword search; employed LLMs to maintain scalable indexing, retrieval, and query processing across 1M+ data sets. Automated classification and summarization by fine-tuning and integrating large language models, and developed an AI agent for advanced natural language understanding and customer action recognition to improve task automation. Automated end-to-end application workflow from document discovery to submission, reducing manual effort and processing time by 50%.
Senior AI Engineer at Gov - GPT(Golden Net)
October 1, 2024 - September 15, 2025Boosted 2x search accuracy with an AI-powered hybrid search system using Elasticsearch to enhance document retrieval, while leveraging LLMs for scalable indexing, retrieval, and query processing across 1M+ data sets. Automated classification and summarization by fine-tuning and integrating LLMs (GPT, BERT, T5), and developed an AI agent for advanced natural language understanding and customer action recognition to improve task automation. Automated end-to-end workflows from document discovery to submission, reducing manual effort by 50%.
AI Engineer at Gov - GPT(Golden Net)
October 1, 2024 - September 15, 2025Boosted 2X search accuracy using an AI-powered hybrid search system with Elasticsearch to enhance document retrieval efficiency over traditional keyword search, employing LLMs to maintain scalable indexing, retrieval, and query processing across 1M+ complex datasets. Automated classification and summarization by fine-tuning and integrating large language models for use cases using transformers (GPT, BERT, T5), reducing time by 20%. Developed an AI agent for advanced natural language understanding and customer action recognition to improve task automation, and automated end-to-end workflows from document discovery to submission, reducing manual effort by 50%.
AI Engineer at Specific Group Austria (Remote)
May 31, 2024 - September 15, 2025Led research-to-production initiatives, turning Generative AI advances into enterprise applications. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot using LLMs (GPT, Llama) and vector databases (Pinecone, ChromaDB). Engineered scalable microservices and API orchestration (Python, FastAPI on GCP) to deploy and integrate LLM applications within Agile teams of 7+.
AI Engineer at Specific Group Austria (Remote)
May 31, 2024 - September 15, 2025Led research-to-production initiatives, transforming theoretical advances in Generative AI (Transformers, LLMs) into real-world applications for enterprise customers. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot leveraging LLMs (GPT, Llama), vector databases (Pinecone, ChromaDB), advanced NLP techniques, and prompt engineering, resulting in significant improvements in semantic search accuracy and customer satisfaction. Engineered scalable microservices and API orchestration frameworks (Python FastAPI on GCP) to deploy and integrate LLM applications, enabling secure, high-availability access and seamless integration with third-party services. Collaborated with cross-functional teams in an Agile Scrum environment of 7+.
AI Engineer at Specific Group Austria (Remote)
May 1, 2024 - September 17, 2025Led research-to-production initiatives, transforming theoretical advances in Generative AI into real-world applications for enterprise customers. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot leveraging GPT, Llama, vector databases (Pinecone, ChromaDB), NLP techniques, and prompt engineering, improving semantic search accuracy and customer satisfaction. Engineered scalable microservices and API orchestration frameworks (Python FastAPI on GCP) to deploy and integrate LLM applications, enabling secure, high-availability access and integration with third-party services. Collaborated with ML, data, and product engineers in an Agile Scrum team of 7+, ensuring data quality and timely delivery.
AI Engineer at Specific Group
May 1, 2024 - September 15, 2025Led research-to-production initiatives, transforming Generative AI advances into enterprise applications. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot leveraging LLMs, vector databases, advanced NLP techniques, and prompt engineering, improving semantic search accuracy and customer satisfaction. Engineered scalable microservices and API orchestration frameworks (Python FastAPI on GCP) to deploy and integrate LLM applications, enabling secure, high-availability access and integration with third-party services.
AI Engineer at Specific Group
May 1, 2024 - September 15, 2025Led research-to-production initiatives, transforming Generative AI advances into enterprise applications. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot using LLMs (GPT, Llama), vector databases (Pinecone, ChromaDB), and advanced NLP/prompt engineering. Built scalable microservices and API orchestration frameworks (Python FastAPI on GCP) for secure, high-availability access and seamless integration with third-party services. Collaborated within an Agile Scrum team of 7+ to ensure data quality and performance.
AI Engineer at Specific Group
May 1, 2024 - September 15, 2025Led research-to-production initiatives, transforming Generative AI advances into real-world applications for enterprise customers. Designed and deployed a Retrieval-Augmented Generation (RAG) chatbot leveraging LLMs (GPT, Llama), vector databases (Pinecone, ChromaDB), and prompt engineering, resulting in significant improvements in semantic search accuracy and customer satisfaction. Engineered scalable microservices and API orchestration frameworks (Python FastAPI on GCP) to deploy and integrate LLM applications, enabling secure, high-availability access and seamless integration with third-party services. Collaborated with cross-functional teams in an Agile Scrum environment.
Machine Learning Engineer at Specific Group Austria (Remote)
May 1, 2024 - July 23, 2025Improved model performance through feature engineering, data preprocessing, and augmentation by 10%, impacting business outcomes positively. Developed SQL queries for data analysis and system performance improvement. Created and deployed a RAG-based chatbot for semantic search using LLMs and vector databases to enhance document retrieval and customer interaction. Automated classification and summarization workflows by fine-tuning transformer models, reducing time by 20%. Enhanced microservices with Python FastAPI for seamless integration of ML models into SaaS platforms leveraging Google Cloud. Coordinated with cross-disciplinary teams to ensure data quality and consistency while prototyping and deploying new production features.
Machine Learning Engineer at Specific Group Austria (Remote)
May 1, 2024 - July 23, 2025Improved model performance by 10% with feature engineering, data preprocessing, and augmentation impacting business outcomes. Developed SQL queries and contributed to database management enhancing system performance. Created and deployed a RAG-based chatbot for semantic search using LLMs (GPT, LLAMAs), vector databases (Pinecone, ChromaDB), NLP techniques, and prompt engineering to improve document retrieval and conversational customer responses. Automated classification and summarization by fine-tuning transformer-based language models like GPT, BERT, and T5, reducing time by 20%. Enhanced existing microservices with Python FastAPI to deploy ML models on Google Cloud Platform. Collaborated with machine learning, data, and product engineers ensuring data quality and prototyping new AI product features.
Machine Learning Engineer at Specific Group Austria
May 1, 2024 - July 23, 2025Optimized model performance by implementing feature engineering, data preprocessing, and augmentation, resulting in a 10% improvement impacting business outcomes. Developed SQL queries to support data analysis and reporting. Designed and deployed a RAG-based chatbot for semantic search using large language models (GPT, LLAMAs), vector databases (Pinecone, ChromaDB), NLP techniques, and prompt engineering to enhance document retrieval and conversational customer experience. Automated classification and summarization tasks by fine-tuning transformer models such as GPT, BERT, and T5, reducing time by 20%. Enhanced microservices functionality using Python FastAPI for deploying ML models on Google Cloud Platform. Collaborated with cross-functional teams to ensure data quality and prototype new AI features for SaaS platform integration.
Machine Learning Engineer at Cyberoxi
September 1, 2023 - July 23, 2025Designed and deployed scalable machine learning models for real-time monitoring enhancing anomaly detection and classification. Performed continuous performance monitoring for 10 deployed models leveraging real-world feedback to maintain accuracy. Accelerated model deployment cycles by collaborating with DevOps to implement CI/CD pipelines using MLFlow and Docker. Reduced human error by 50% and increased production by 25% by deploying deep learning-based anomaly detection models. Conducted comprehensive data quality assessments for large datasets. Developed a customer churn prediction model that successfully reduced churn rate by 10%. Mentored and led teams, including interns and junior data scientists, on machine learning best practices and workflows.
Machine Learning Engineer at Cyberoxi
September 1, 2023 - July 23, 2025Designed and deployed scalable machine learning models for real-time monitoring and enhanced anomaly detection and classification. Conducted continuous performance monitoring for 10 models in production, optimizing results by retraining and fine-tuning based on real-world feedback. Accelerated model deployment cycles by 2X through CI/CD pipelines with MLFlow and Docker. Reduced human errors by 50% and increased production by 25% using machine and deep learning for anomaly detection. Conducted data quality assessments on large datasets (20,000+ records) covering requirement specifications, system design, and model evaluation. Developed a customer churn prediction model that reduced churn rate by 10%. Mentored and led a team including 6 interns and 2 junior data scientists on machine learning best practices and project workflows.
Machine Learning Engineer at Cyberoxi
September 1, 2023 - July 23, 2025Designed and deployed scalable machine learning models for real-time monitoring that enhanced anomaly detection and classification. Continuously monitored the performance of 10 deployed production models, leveraging real-world feedback to optimize results and retrain models as necessary. Accelerated model deployment cycles by 2X in collaboration with DevOps by designing CI/CD pipelines using MLFlow and Docker. Reduced human error by 50% and increased production by 25% by deploying deep learning models for anomaly detection. Conducted analysis and data quality assessments on large datasets exceeding 20,000 records. Developed and implemented a customer churn prediction model using advanced machine learning techniques, reducing churn by 10%. Mentored a team consisting of interns and junior data scientists by delivering machine learning best practices and project workflow classes.
Machine Learning Engineer at Cyberoxi
August 31, 2023 - September 15, 2025Designed and deployed scalable ML models for real-time monitoring, enhancing anomaly detection and classification. Accelerated deployment cycles by 2x through CI/CD pipelines using MLFlow and Docker. Reduced human error by 50% and increased production by 25% with ML/DL for anomaly detection; delivered ongoing performance monitoring for 10 deployed models and built a churn model to reduce churn by 10%. Mentored 6 interns and 2 junior data scientists.
Machine Learning Engineer at Cyberoxi
August 31, 2023 - September 15, 2025Designed and deployed scalable machine learning models for real-time monitoring, enhancing anomaly detection and classification. Accelerated model deployment cycles by 2x through collaboration with DevOps to implement CI/CD pipelines using MLFlow and Docker. Reduced human error by 50% and increased production by 25% with ML and deep learning to detect anomalies, improving overall efficiency and customer engagement. Delivered ongoing performance monitoring for 10 deployed models in production, leveraging real-world feedback to optimize results. Mentored and led a team including 6 interns and 2 junior data scientists.
Machine Learning Engineer at Cyberoxi
August 1, 2023 - September 17, 2025Designed and deployed scalable machine learning models for real-time monitoring, enhancing anomaly detection and classification. Accelerated model deployment cycles by 2X via CI/CD with MLFlow and Docker, automating training, testing, and deployment. Reduced human error by 50% and increased production by 25% through ML and DL to detect anomalies, improving overall efficiency and customer engagement. Delivered ongoing performance monitoring for 10 deployed models in production and mentored a team of interns and junior data scientists.
Machine Learning Engineer at Cyberoxi
August 1, 2023 - September 15, 2025Designed and deployed scalable machine learning models for real-time monitoring, enhancing anomaly detection and classification. Accelerated model deployment cycles by 2x through CI/CD collaboration with DevOps, using MLFlow and Docker to automate training, testing, and deployment. Reduced human error by 50% and increased production by 25% with ML-based anomaly detection; delivered ongoing performance monitoring for 10 deployed models in production and mentored a team of interns and junior data scientists.
Machine Learning Engineer at Cyberoxi
August 1, 2023 - September 15, 2025Designed and deployed scalable ML models for real-time monitoring, enhancing anomaly detection and classification. Accelerated deployment cycles by 2x through CI/CD collaboration with DevOps using MLFlow and Docker. Reduced human error by 50% and increased production by 25% via ML-driven anomaly detection and continuous monitoring for 10 models. Led churn prediction modeling to reduce churn by 10% and mentored interns and junior data scientists on ML best practices.
Machine Learning Engineer at Cyberoxi
August 1, 2023 - September 15, 2025Designed and deployed scalable machine learning models for real-time monitoring, enhancing anomaly detection and classification. Accelerated model deployment cycles by 2X through collaboration with DevOps, implementing CI/CD pipelines using MLFlow and Docker to automate training, testing, and deployment processes. Reduced human error by 50% and increased production by 25% with ML-based anomaly detection, and delivered ongoing performance monitoring for 10 deployed models in production. Also built a customer churn prediction model to reduce churn by 10% and mentored a team of interns and junior data scientists.
Machine Learning Engineer at Sepandalmas
January 31, 2021 - July 23, 2025Engineered autonomous Reverse Vending Machines using machine learning and computer vision, serving over 200,000 users and processing 2 million pieces of trash daily. Built interactive sales prediction dashboards that provided real-time insights into sales trends and customer performance. Developed and deployed machine learning models that led to a 20% revenue increase for manufacturers by predicting regional market trends and customer preferences. Analyzed user behavior data to provide valuable insights into product usage, material recycling rates, and growth opportunities.
Machine Learning Engineer at Sepandalmas
January 31, 2021 - July 23, 2025Engineered autonomous Reverse Vending Machines (RVM) for the recycling industry enabling waste management for over 200,000 users and separating over 2 million pieces of trash daily. Developed an interactive sales prediction dashboard using Python's statistical modeling and visualization libraries, providing real-time sales insights. Increased manufacturer revenue by 20% through machine learning models predicting regional market trends and customer preferences, aiding customer acquisition strategies. Analyzed behavioral data from 200,000 users and 2 million data points providing valuable insights into usage patterns and recycling rates to manufacturers, enabling market positioning and growth opportunity identification.
Machine Learning Engineer at Sepandalmas
January 1, 2021 - July 23, 2025Engineered autonomous Reverse Vending Machines for the recycling industry using machine learning and computer vision, serving over 200,000 users and enabling the separation of over 2 million pieces of trash daily. Built an interactive sales prediction dashboard using Python's statistical modeling and visualization libraries to provide real-time insights into sales trends and customer performance. Developed machine learning models that increased manufacturer revenue by 20% by predicting regional market trends and customer preferences. Analyzed user behavior data from over 200,000 users and 2 million data points to provide insights into product usage, materials, and recycling rates, helping manufacturers identify growth opportunities and market positioning.
Machine Learning Engineer at Sepandalmas
June 30, 2020 - September 15, 2025Engineered autonomous Reverse Vending Machines (RVM) for recycling, serving 200,000+ users and enabling the separation of over 2 million pieces of trash daily. Drove a 20% revenue increase by delivering predictive insights into regional market trends and customer preferences, and analyzed data from 200,000 users and 2 million data points to inform product usage and growth opportunities.
Machine Learning Engineer at Sepandalmas
June 30, 2020 - September 15, 2025Engineered autonomous Reverse Vending Machines (RVM) for the recycling industry to collaborate in waste management, serving more than 200,000 users and enabling the separation of over 2 million pieces of trash daily. Drove a 20% revenue increase for manufacturers by developing and deploying machine learning models that provided predictive insights into regional market trends and customer preferences. Analyzed user behavior data from 200,000 users and 2 million data points to provide manufacturers with valuable insights into product usage patterns, materials, and recycling rates, enabling growth opportunities.
Machine Learning Engineer at Sepandalmas
June 1, 2020 - September 17, 2025Engineered autonomous Reverse Vending Machines (RVM) for the recycling industry to collaborate in waste management, serving more than 200,000 users and enabling the separation of over 2 million pieces of trash daily. Drove a 20% revenue increase by developing ML models that provided predictive insights into regional market trends and customer preferences. Analyzed user behavior data from 200,000 users and 2 million data points to provide manufacturers with insights into product usage, materials, and recycling rates.
Machine Learning Engineer at Sepandalmas
June 1, 2020 - September 15, 2025Engineered autonomous Reverse Vending Machines for the recycling industry, serving more than 200,000 users and enabling the separation of over 2 million pieces of trash daily. Drove a 20% revenue increase for manufacturers by deploying models that provided predictive insights into regional market trends and customer preferences. Analyzed user data from 200,000 users and 2 million data points to deliver valuable insights for product usage patterns, materials, and recycling rates.
Machine Learning Engineer at Sepandalmas
June 1, 2020 - September 15, 2025Engineered autonomous Reverse Vending Machines (RVM) for recycling, serving over 200,000 users and enabling the daily separation of over 2 million items. Drove a 20% revenue increase for manufacturers by building predictive models on regional market trends and customer preferences. Analyzed data from 200,000 users and 2 million data points to provide insights into product usage, materials, and recycling rates.
Machine Learning Engineer at Sepandalmas
June 1, 2020 - September 15, 2025Engineered autonomous Reverse Vending Machines (RVM) for recycling to serve 200,000 users and achieve large-scale waste separation. Drove a 20% revenue increase for manufacturers by developing ML models that provided predictive insights into regional market trends and customer preferences. Analyzed user behavior from 200,000 users and 2 million data points to deliver actionable insights on product usage, materials, and recycling rates.
Education
Bachelor of Engineering at Azad University (IAU)
January 1, 2012 - December 31, 2017Bachelor of Engineering - BE at Azad University (IAU)
January 1, 2012 - December 31, 2017Bachelor of Engineering at Azad University (IAU)
January 1, 2012 - December 31, 2017Bachelor of Engineering - BE at Azad University (IAU)
January 1, 2012 - December 31, 2017Bachelor of Engineering - BE at Azad University (IAU)
January 1, 2012 - January 1, 2017Bachelor of Engineering - BE, Mechanical Engineering at Azad University (IAU)
January 1, 2012 - January 1, 2017Bachelor of Engineering - BE, Mechanical Engineering at Azad University (IAU)
January 1, 2012 - January 1, 2017Bachelor of Engineering - BE at Azad University (IAU)
January 1, 2012 - January 1, 2017Bachelor of Engineering - BE, Mechanical Engineering at Azad University (IAU)
January 1, 2012 - January 1, 2017Qualifications
Machine Learning with Python – IBM
January 1, 2022 - December 31, 2022Introduction to Machine Learning in Production - Coursera (MLOps)
January 1, 2022 - December 31, 2022Deep Neural Networks with PyTorch – Coursera
January 1, 2022 - December 31, 2022Machine Learning with Python – IBM
January 1, 2022 - December 31, 2022Introduction to Machine Learning in Production - Coursera (MLOps)
January 1, 2022 - December 31, 2022Deep Neural Networks with PyTorch – Coursera
January 1, 2022 - December 31, 2022Machine Learning with Python – IBM
January 1, 2022 - December 31, 2022Introduction to Machine Learning in Production - Coursera (MLOps)
January 1, 2022 - December 31, 2022Deep Neural Networks with PyTorch – Coursera
January 1, 2022 - December 31, 2022Machine Learning with Python
January 1, 2022 - September 15, 2025Introduction to Machine Learning in Production (MLOps)
January 1, 2022 - September 15, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 15, 2025Machine Learning with Python
January 1, 2022 - September 15, 2025Introduction to Machine Learning in Production - MLOps
January 1, 2022 - September 15, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 15, 2025Machine Learning with Python
January 1, 2022 - September 15, 2025Introduction to Machine Learning in Production (MLOps)
January 1, 2022 - September 15, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 15, 2025Machine Learning with Python
January 1, 2022 - September 15, 2025Introduction to Machine Learning in Production - MLOps
January 1, 2022 - September 15, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 15, 2025Machine Learning with Python
January 1, 2022 - September 15, 2025Introduction to Machine Learning in Production - Coursera (MLOps)
January 1, 2022 - September 15, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 15, 2025Machine Learning with Python
January 1, 2022 - September 17, 2025Introduction to Machine Learning in Production - Coursera(MLOps)
January 1, 2022 - September 17, 2025Deep Neural Networks with PyTorch
January 1, 2022 - September 17, 2025Industry Experience
Software & Internet, Manufacturing, Retail, Professional Services, Other, Consumer Goods, Government, Financial Services, Media & Entertainment, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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