I am a results-driven AI Engineer and Data Scientist with over 4 years of hands-on experience designing, deploying, and optimizing scalable machine learning and AI solutions to create meaningful business impact. My expertise spans advanced data science, neural networks, generative models, algorithm development, and MLOps. Throughout my career, I have demonstrated strong team leadership, cross-functional collaboration, and have successfully translated technical innovation into measurable outcomes. I am passionate about AI research, ethics, and leveraging cloud technologies to solve complex problems while clearly communicating insights to both technical and non-technical stakeholders.

Shayan Einollahi

I am a results-driven AI Engineer and Data Scientist with over 4 years of hands-on experience designing, deploying, and optimizing scalable machine learning and AI solutions to create meaningful business impact. My expertise spans advanced data science, neural networks, generative models, algorithm development, and MLOps. Throughout my career, I have demonstrated strong team leadership, cross-functional collaboration, and have successfully translated technical innovation into measurable outcomes. I am passionate about AI research, ethics, and leveraging cloud technologies to solve complex problems while clearly communicating insights to both technical and non-technical stakeholders.

Available to hire

I am a results-driven AI Engineer and Data Scientist with over 4 years of hands-on experience designing, deploying, and optimizing scalable machine learning and AI solutions to create meaningful business impact. My expertise spans advanced data science, neural networks, generative models, algorithm development, and MLOps.

Throughout my career, I have demonstrated strong team leadership, cross-functional collaboration, and have successfully translated technical innovation into measurable outcomes. I am passionate about AI research, ethics, and leveraging cloud technologies to solve complex problems while clearly communicating insights to both technical and non-technical stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced

Work Experience

Data Scientist at Nour Energy Research Center
January 31, 2025 - July 25, 2025
Designed and deployed scalable MLOps pipelines using TensorFlow, PyTorch, and Keras, reducing model deployment time by 75% and increasing system reliability to 99.8%. Executed advanced feature engineering and hyperparameter tuning with H2O.ai, improving accuracy from 72% to 90%. Developed REST APIs for real-time inference handling 500+ concurrent requests. Built generative models for synthetic data, improving dataset quality by 40% and addressing data scarcity. Reduced operational waste by 30%, saving $45K annually. Implemented computer vision solutions with OpenCV for defect detection achieving 95% accuracy and cut inspection time by 60%. Mentored junior data scientists and championed AI ethics by reducing bias by 85%. Created comprehensive documentation, standardizing processes and reducing onboarding time by 50%. Presented findings to leadership securing additional $200K funding and enhancing stakeholder buy-in by 90%.
Data Scientist Intern at BennuAI Innovations
June 30, 2024 - July 25, 2025
Engineered computer vision pipelines using OpenCV and NLP systems processing over 10TB daily, increasing throughput by 40% and maintaining 99.9% data integrity. Developed automated quality control algorithms with Keras, reducing error rates by 18% and saving $25K monthly. Enhanced cloud model deployments on AWS scaling request capacity from 200 to 1,000+ per second with 99.9% uptime and sub-100ms response times. Used generative models for data augmentation expanding datasets by 300%, improving robustness. Coordinated agile sprints across departments managing 12 projects, reducing delivery time by 25%. Conducted hyperparameter tuning raising F1 scores by 23% across multiple models. Created documentation reducing support tickets by 35% and improved system adoption. Delivered presentations to non-technical stakeholders resulting in 95% approval for production deployment.
Freelance AI/ML Engineer/Data Scientist at Freelancer
February 29, 2024 - July 25, 2025
Designed personalization engines increasing cross-sell revenue by 17% for e-commerce clients. Delivered NLP chatbots automating 100K+ monthly queries, reducing customer service costs by $30K quarterly. Built scalable ETL workflows with Apache Spark and Airflow enhancing data reliability by 95% and reducing latency by 28%. Developed Power BI dashboards for predictive maintenance preventing over $50K in equipment failures. Created microservices architecture and APIs improving system integration by 45% and reducing support load by 60%. Managed full project lifecycles using agile methodologies across 15+ client projects ensuring timely delivery and quality standards.
Data Scientist at Nour Energy Research Center
January 31, 2025 - July 25, 2025
Designed and deployed scalable MLOps pipelines using TensorFlow, PyTorch, and Keras, reducing model deployment time by 75% and increasing system reliability to 99.8%. Executed advanced feature engineering and hyperparameter tuning with H2O.ai, improving model accuracy to 90%. Created REST APIs with Flask and FastAPI for real-time AI inference, supporting over 500 concurrent requests. Developed generative models for synthetic data creation, improving dataset quality by 40%. Used Apache Spark for large-scale data processing, reducing operational waste by 30% and costs by $45K annually. Implemented computer vision for solar panel defect detection with 95% accuracy, cutting manual inspection time by 60%. Mentored junior data scientists and championed AI ethics by reducing discriminatory outcomes by 85%. Established technical documentation and operational runbooks, improving onboarding time by 50%. Presented findings to executives, securing $200K in additional funding and enhancing stakehol
Data Scientist Intern at BennuAI Innovations
June 30, 2024 - July 25, 2025
Engineered computer vision pipelines and NLP systems processing over 10TB of data daily with 99.9% integrity. Developed automated quality control algorithms using Keras, reducing error rates by 18% and saving $25K monthly. Enhanced cloud model deployments on AWS scaling requests from 200 to 1,000+ per second with 99.9% uptime and sub-100ms latency. Implemented generative models for data augmentation, expanding training data by 300%. Coordinated agile sprint planning managing 12 projects across departments and improving delivery time by 25%. Conducted model evaluation and hyperparameter optimization using H2O.ai, raising F1 score from 0.71 to 0.87. Created technical documentation reducing support tickets by 35% and delivered presentations achieving 95% stakeholder approval for deployment.
Freelance AI/ML Engineer/Data Scientist at Freelancer
February 29, 2024 - July 25, 2025
Designed personalization engines with collaborative filtering and deep learning, increasing cross-sell revenue by 17% for e-commerce clients. Delivered NLP chatbots and classifiers using OpenAI APIs, spaCy, and Keras, automating 100K+ monthly queries and cutting customer service costs by $30K quarterly. Built scalable ETL workflows using Apache Spark and Airflow, improving data reliability by 95% and reducing latency by 28%. Developed Power BI dashboards for predictive maintenance, preventing over $50K in equipment failures. Created microservices architecture and APIs with Git version control, improving system integration and reducing support load by 60%. Managed full project lifecycles using agile methodologies, standardizing documentation for 15+ projects.
Data Scientist at Nour Energy Research Center
January 31, 2025 - July 25, 2025
Designed and deployed scalable MLOps pipelines using TensorFlow, PyTorch, and Keras, reducing model deployment time by 75% and increasing reliability to 99.8%. Executed advanced feature engineering and hyperparameter tuning using H2O.ai, boosting model accuracy by 25%. Created robust REST APIs for real-time AI inference, handling 500+ concurrent requests. Developed generative models for synthetic data to improve dataset quality by 40%. Used Apache Spark to reduce operational waste by 30% and cut costs by $45K annually. Implemented computer vision solutions with OpenCV achieving 95% accuracy for solar panel defect detection. Mentored two junior data scientists and championed AI ethics by reducing bias in models by 85%. Produced comprehensive documentation and delivered presentations securing $200K additional funding.
Data Scientist Intern at BennuAI Innovations
June 30, 2024 - July 25, 2025
Engineered computer vision pipelines and NLP systems that processed over 10TB data daily, increasing throughput by 40% with 99.9% data integrity. Developed quality control algorithms with Keras reducing error rates by 18%, saving $25K monthly. Enhanced AWS cloud deployments scaling requests from 200 to 1000+ per second with sub-100ms response time. Implemented generative models expanding training datasets by 300%, improving robustness. Coordinated agile sprint planning managing multiple projects with Git version control, reducing delivery time by 25%. Conducted model evaluation raising F1 score by 23%. Created documentation reducing support tickets by 35% and improved stakeholder buy-in to 95%.
Freelance AI/ML Engineer/Data Scientist at Freelancer
February 29, 2024 - July 25, 2025
Designed personalization engines using collaborative filtering and deep learning to increase cross-sell revenue by 17% for multiple e-commerce clients. Delivered NLP chatbots automating over 100K user queries monthly, reducing service costs by $30K quarterly. Built scalable ETL workflows with Apache Spark and Airflow, enhancing data reliability by 95% and cutting processing latency by 28%. Developed predictive maintenance dashboards with Power BI preventing equipment failures worth over $50K. Created documented microservices architectures improving system integration by 45% and reducing support load by 60%. Managed 15+ full project lifecycles employing agile methodologies and standardized documentation.
Data Scientist at Nour Energy Research Center
January 31, 2025 - July 25, 2025
Designed and deployed scalable MLOps pipelines using TensorFlow, PyTorch, and Keras, which reduced model deployment time by 75% and increased system reliability to 99.8%. Executed advanced feature engineering and hyperparameter tuning using H2O.ai, boosting model accuracy from 72% to 90%. Created robust REST APIs with Flask and FastAPI enabling real-time inference and handling over 500 concurrent requests. Developed generative models to improve training dataset quality by 40% addressing data scarcity challenges. Used Apache Spark for large-scale data analysis, reducing operational waste by 30% and cutting costs by $45K annually. Implemented computer vision solutions using OpenCV for solar panel defect detection with 95% accuracy, reducing manual inspections by 60%. Mentored junior data scientists and championed AI ethics by implementing bias detection algorithms that reduced discriminatory outcomes by 85%. Established technical documentation and operational runbooks with Git, standardi
Data Scientist Intern at BennuAI Innovations
June 30, 2024 - July 25, 2025
Engineered computer vision pipelines and NLP systems processing over 10TB daily, increasing throughput by 40% while maintaining 99.9% data integrity. Developed automated quality control algorithms with Keras and hyperparameter tuning, reducing error rates by 18% and saving $25K monthly. Enhanced AWS cloud-based deployments using Apache Spark, scaling handling from 200 to 1,000+ requests per second with 99.9% uptime and sub-100ms response times. Implemented generative models for data augmentation, expanding datasets by 300% and improving robustness. Coordinated agile sprint planning across departments managing 12 projects, using Git for version control, reducing delivery time by 25%. Conducted comprehensive model evaluation raising F1 score from 0.71 to 0.87. Created documentation reducing support tickets by 35%. Delivered technical presentations to non-specialists, resulting in 95% stakeholder approval for production deployment.
Freelance AI/ML Engineer/Data Scientist at Freelancer
February 29, 2024 - July 25, 2025
Designed personalization engines using collaborative filtering and deep learning, increasing cross-sell revenue by 17% for e-commerce clients with combined annual revenues over $2M. Delivered NLP chatbots and classifiers automating over 100K monthly user queries, reducing customer service costs by $30K quarterly. Built and orchestrated scalable ETL workflows with Apache Spark and Airflow, improving data reliability and reducing latency by 28%. Developed Power BI dashboards for predictive maintenance for medium-sized businesses, preventing over $50K in equipment failures. Created microservices architectures and APIs with Git version control, improving client system integration by 45%. Managed project lifecycles from scoping to deployment employing agile methodologies and standardizing documentation across 15+ projects.
Data Scientist at Nour Energy Research Center
January 31, 2025 - August 6, 2025
Designed and deployed scalable MLOps pipelines with TensorFlow, PyTorch, and Keras, reducing deployment time by 75% and maintaining 99.8% reliability. Improved model accuracy by 25% through advanced feature engineering and hyperparameter tuning using H2O.ai. Developed REST APIs for real-time AI inference supporting 500+ concurrent requests. Created generative models for synthetic data enhancing dataset quality by 40%. Led computer vision initiatives using OpenCV for solar panel defect detection at 95% accuracy, cutting manual inspection by 60%. Mentored junior data scientists and championed AI ethics, reducing discriminatory outcomes by 85%. Presented complex AI concepts to executives, securing $200K in additional funding and enhancing stakeholder buy-in by 90%.
Data Scientist Intern at BennuAI Innovations
June 30, 2024 - August 6, 2025
Engineered computer vision pipelines with OpenCV and NLP systems processing over 10TB daily, increasing throughput by 40% and maintaining 99.9% data integrity. Developed quality control algorithms using Keras to reduce error rates by 18%, saving $25K monthly. Scaled cloud deployments on AWS using Apache Spark, increasing requests per second from 200 to 1,000+ with 99.9% uptime. Expanded training datasets by 300% via generative models improving model robustness. Coordinated agile planning across 3 departments for 12 projects, reducing delivery time by 25%. Authored technical documentation widely adopted by 40+ administrators, reducing support tickets by 35%. Delivered presentations clarifying AI benefits, achieving 95% stakeholder approval for deployment.
Freelance AI/ML Engineer/Data Scientist at Freelancer
February 29, 2024 - August 6, 2025
Designed personalization engines with collaborative filtering and deep learning, increasing cross-sell revenue by 17% for multiple e-commerce clients. Developed NLP chatbots and classifiers using OpenAI APIs and spaCy, automating over 100K monthly queries, cutting customer service costs by $30K quarterly. Built scalable ETL workflows with Apache Spark and Airflow, improving data reliability by 95% and reducing latency by 28%. Created Power BI dashboards for predictive maintenance preventing over $50K in equipment failures. Improved client systems by 45% through microservices architecture and API documentation. Managed full project lifecycles using agile methods, standardizing documentation across 15+ projects.

Education

Bachelor of Science at Tabriz University
October 1, 2020 - May 31, 2024
Bachelor of Science at Tabriz University
October 1, 2020 - May 31, 2024
Bachelor of Science at Tabriz University
October 1, 2020 - May 31, 2024
Bachelor of Science at Tabriz University
October 1, 2020 - May 31, 2024
Bachelor of Science in Electrical Engineering at Tabriz University
October 1, 2020 - May 1, 2024

Qualifications

IBM Machine Learning
June 1, 2025 - June 30, 2025
AWS Fundamentals
May 1, 2025 - May 31, 2025
AWS Cloud Technical Essentials
May 1, 2025 - May 31, 2025
Irancell Labs Artificial Intelligence Hackathon (Awarded Certificate)
March 1, 2023 - March 31, 2023
IBM Machine Learning
June 1, 2025 - June 30, 2025
AWS Fundamentals
May 1, 2025 - May 31, 2025
AWS Cloud Technical Essentials
May 1, 2025 - May 31, 2025
Irancell Labs Artificial Intelligence Hackathon (Awarded Certificate)
March 1, 2023 - March 31, 2023
IBM Machine Learning
June 1, 2025 - June 30, 2025
AWS Fundamentals
May 1, 2025 - May 31, 2025
AWS Cloud Technical Essentials
May 1, 2025 - May 31, 2025
Irancell Labs Artificial Intelligence Hackathon (Awarded Certificate)
March 1, 2023 - March 31, 2023
IBM Machine Learning
June 1, 2025 - June 30, 2025
AWS Fundamentals
May 1, 2025 - May 31, 2025
AWS Cloud Technical Essentials
May 1, 2025 - May 31, 2025
Irancell Labs Artificial Intelligence Hackathon (Awarded Certificate)
March 1, 2023 - March 31, 2023
IBM Machine Learning
June 1, 2025 - August 6, 2025
AWS Fundamentals
May 1, 2025 - August 6, 2025
AWS Cloud Technical Essentials
May 1, 2025 - August 6, 2025
Irancell Labs Artificial Intelligence Hackathon (Awarded Certificate)
March 1, 2023 - August 6, 2025

Industry Experience

Energy & Utilities, Computers & Electronics, Software & Internet, Professional Services, Manufacturing, Other