Available to hire
I am a results-driven Machine Learning Engineer with a proven track record in developing and deploying impactful machine learning systems, including traditional ML, deep learning, and generative AI large language models. My expertise lies in enhancing user engagement, revenue, and customer acquisition while optimizing operational efficiency through advanced predictive modeling. I am skilled in mentoring junior team members, collaborating cross-functionally, and implementing innovative solutions. Recognized as a problem solver and critical thinker with a professional ownership mindset, I am proficient in cutting-edge technologies.
Currently, I seek opportunities to apply my expertise in data-driven and AI-related work, contributing to measurable business outcomes in a dynamic and growth-oriented environment.
Skills
Experience Level
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Work Experience
ML Engineer at Mithra-ai Solutions
December 1, 2023 - PresentProductized the procurement categorization workflow into a reproducible, pipeline-based CLI tool using pure Python, enabling multi-level taxonomy classification with confidence scores and integrated feedback, significantly reducing operational time and enabling seamless cross-team collaboration. Designed, deployed, and scaled a Document Intelligence product with two use cases—contract and invoice parsing—using GCP, Gemini, and LangGraph, processing over 30K invoices per quarter and resulting in a 3-year enterprise contract and successful customer adoption. Designed and deployed a Retrieval-Augmented Generation (RAG) and SQL-based chatbot identifying procurement opportunities from large datasets, implemented with LangGraph, GCP, and Django, currently used by two companies for streamlining procurement analysis. Contributed to and developed a new section in the web app called Opportunity Dashboard leveraging large language models for enhanced risk analysis, implemented Google Cloud Pl
Data Scientist and ML Engineer at Bale Financial Messenger
December 1, 2023 - August 26, 2025Conducted research, developed, gathered data, and deployed a multi-stage recommender architecture integrating retrieval and ranking models using TensorFlow, enhancing channel admins' visibility and convenience and achieving over 10% improvement in click-through rate (CTR) on text channels through A/B testing. Utilized Kubernetes for efficient and scalable deployment ensuring high availability and performance. Implemented MLOps practices using TensorFlow Extended to monitor and address data drift, ensuring model accuracy continuity. Developed and deployed a high-impact multi-output regression model using XGBoost and scikit-learn, achieving a 2.5% average monthly CTR improvement. Mentored and guided two junior data scientists in building an effective churn prediction system contributing to a 6% improvement in user retention. Developed, deployed, and maintained a real-time personalized financial report generator for over 200,000 users, reducing report creation time from 60 seconds to 4 se
System Engineering, Data Scientist at Yaas Arghavani
September 1, 2021 - August 26, 2025Built and fine-tuned a powerful churn prediction system for Mellat Bank's mobile app leveraging Random Forest and XGBoost models, achieving a significant 3% enhancement in user retention contributing to customer satisfaction and profitability. Collaborated to develop an advanced churn prediction system using time-series techniques with Keras and TensorFlow, further improving system performance and accuracy.
Data Scientist at Institute of Applied Intelligent Systems of Tehran University
September 1, 2020 - August 26, 2025Developed and deployed a highly efficient text de-duplication engine for user complaints using the LSH method, resulting in substantial cost optimization of 600,000 tomans per complaint for the CRM group. Designed and implemented a multi-label and multi-class text classification system for in-person complaints segmentation, significantly improving user protection during the challenging COVID-19 situation.
AI Researcher at Digikala Next
November 1, 2019 - August 26, 2025Conducted advanced research and development focusing on fraud detection in online retailers using cutting-edge deep learning techniques and complex networks.
Teaching Assistant: Advanced Programming Course at Amir Kabir University
June 1, 2019 - August 26, 2025Managed assignments and projects, graded assignments, and instructed students in Python, C++, and Raspberry Pi.
ML Engineer at Mithra-ai Solutions
December 1, 2023 - PresentProductized the procurement categorization workflow into a reproducible, pipeline-based CLI tool using pure Python, enabling multi-level taxonomy classification with confidence scores and integrated feedback, significantly reducing operational time and enabling seamless cross-team collaboration. Designed, deployed, and scaled a Document Intelligence product with two production use cases (contract and invoice parsing) using GCP, Gemini, and LangGraph, processing over 30,000 invoices quarterly and resulting in a 3-year enterprise contract and successful customer adoption. Developed and deployed a Retrieval-Augmented Generation (RAG) and SQL-based chatbot identifying procurement opportunities, implemented with LangGraph, GCP, and Django, currently used by two companies to streamline procurement analysis. Contributed and developed a new web app section called Opportunity Dashboard leveraging Language Model Models (LLMs) for enhanced risk analysis, utilizing GCP services like Cloud Run for
Data Scientist and ML Engineer at Bale Financial Messenger
December 1, 2023 - August 26, 2025Conducted research, developed, gathered data, and deployed a multi-stage recommender architecture integrating retrieval and ranking models using TensorFlow, enhancing channel admin visibility and convenience and improving user engagement. Conducted A/B testing demonstrating over 10% improvement in click-through rate (CTR) on text channels compared to the original app version without the recommender. Utilized Kubernetes for efficient and scalable deployment ensuring high availability and performance. Implemented MLOps practices using TensorFlow Extended (TFX) to monitor and address data drift, ensuring continued model accuracy. Developed and deployed a high-impact multi-output regression model using XGBoost and scikit-learn, achieving a significant 2.5% average monthly improvement in CTR, enhancing user engagement and ad effectiveness. Mentored two junior data scientists to build an effective churn prediction system, contributing to a remarkable 6% improvement in user retention. Develop
System Engineering, Data Scientist at Yaas Arghavani
September 1, 2021 - August 26, 2025Built and fine-tuned a powerful churn prediction system for Mellat Bank's mobile application leveraging Random Forest and XGBoost models, achieving a significant 3% enhancement in user retention, contributing to the bank's customer satisfaction and long-term profitability. Collaborated with a team to develop an advanced churn prediction system using time-series techniques with Keras and TensorFlow, further improving the system's performance and accuracy.
Data Scientist at Institute of Applied Intelligent Systems of Tehran University
September 1, 2020 - August 26, 2025Developed and deployed a highly efficient text de-duplication engine for user complaints using the LSH method, resulting in substantial cost optimization of 600,000 tomans per complaint for the CRM group. Designed and implemented a multi-label and multi-class text classification system for in-person complaints segmentation, significantly improving user protection during the challenging COVID-19 situation.
AI Researcher at Digikala Next
November 1, 2019 - August 26, 2025Conducted advanced research and development focusing on fraud detection in online retailers using cutting-edge deep learning techniques and complex networks.
Teaching Assistant: Advanced Programming Course at Amir Kabir University
June 1, 2019 - August 26, 2025Managed assignments and projects, graded assignments, and instructed students in Python, C++, and Raspberry Pi.
Education
M.Sc. in Digital Electronics Systems at Amir Kabir University of Technology
January 1, 2018 - January 1, 2020B.Sc. in Electrical, Electronics and Communication Engineering at Amir Kabir University of Technology
January 1, 2014 - January 1, 2018M.Sc. in Digital Electronics Systems at Amir Kabir University of Technology
January 1, 2018 - January 1, 2020B.Sc. in Electrical, Electronics and Communication Engineering at Amir Kabir University of Technology
January 1, 2014 - January 1, 2018Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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