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Work Experience
Machine Learning Engineer/Data Scientist at PSL Group
August 1, 2021 - PresentLed end-to-end ML/DS projects, designed data pipelines, and implemented NLP/LLM workflows. Managed Git repositories and AWS Cloud9 development, containerized services with Docker, and exposed functionality via Lambda/API Gateway. Implemented modern ML patterns (LangChain/LangGraph, RAG, LoRA) and built a production-grade recommendation system (two-tower and ranking). Worked with Spark, Snowflake, SQL, Neo4j, and CV/NLP tooling for data processing and visualization.
Data Scientist/NLP Machine Learning Developer & Researcher at Intact
June 1, 2018 - April 1, 2021Developed reinforcement/transfer learning workflows, feature processing, and NLP models (BERT fine-tuning, GPT/Llama usage) for recommendations and understanding tasks. Deployed ML services on AWS SageMaker and via AWS Lambda, containerized for efficient deployment, and created service demos. Worked with Spyder, Jupyter, AWS, Snowflake, Cloud9, MySQL, Neo4j, Eclipse, Node.js, HTML/CSS, OpenCV, and related tools; applied Agile ML methodologies.
Data Scientist/ML Developer & Researcher at Intact
June 1, 2018 - April 1, 2021Reinforcement Learning, Transfer Learning, feature processing, GPT/LLama work, and recommendation systems; BERT pre-trained weight fine-tuning; AWS SageMaker; lambda functions and containerized ML services; service demos using Spyder, Jupyter, AWS, Snowflake, Cloud9, MySQL, Neo4j, Eclipse, Node.js, HTML, CSS, OpenCV; skills include AWS Lambda, Cloud9, BERT, TensorFlow, Fine-tuning, RAG, LoRA, Git, CodeCommit, Scikit-learn, spaCy, NLTK, Pandas, PyTorch, Jupyter; Agile ML methodology; design of LLM & CV solutions for production including AI agents; two-tower recommendation systems and knowledge graphs.
Research Assistant at York University – Data Mining Lab
February 1, 2018 - May 1, 2018Conducted NLP and ML research to generate a question-answering system; used sentence embeddings, rule-based modeling, neural networks, linear regression, SVM; developed time-series prediction models for displaced people datasets; gained Python, LSTM, NLTK, CoreNLP, Gensim, Pandas experience.
Graduate Research Assistant at York University – Gamay Lab
September 1, 2014 - December 1, 2017Developed an algorithm for consonant classification based on tongue tip trajectories; used Weka, Matlab, R, Java, SVM, HMM; conducted sentiment analysis on large text datasets; gained experience in data analysis and development for speech therapy applications.
Education
M.Sc. in Computer Science at York University
January 11, 2030 - June 29, 2026B.Sc. in Computer Engineering (Software) at Tehran Azad University
September 1, 2007 - August 1, 2012M.Sc. in Computer Science at York University
January 11, 2030 - June 29, 2026B.Sc. in Computer Engineering (Software) at Azad University, Tehran
January 11, 2030 - June 29, 2026Qualifications
Autonomous Deep Research Agent (LangGraph, Multi-Agent, RAG)
March 1, 2026 - June 29, 2026Autonomous Deep Research Agent (LangGraph, Multi-Agent, RAG)
March 1, 2026 - June 29, 2026Industry Experience
Software & Internet, Professional Services, Education, Media & Entertainment
Skills
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