Summary
Hojat Abdolanezhad is a Senior Applied Scientist with 9 years of industry and research experience applying machine learning, NLP, and optimization to real-world business problems. He has built and deployed scalable ML and LLM systems across insurance and marketplace contexts—designing RAG-based chatbots, in-house transcription engines, and multi-agent data-generation tools to accelerate model training. With a PhD-level research background at Rotman and hands-on roles from Big Data Engineer to telecom algorithm developer, he blends rigorous statistical modeling and optimization (Gurobi/CPLEX) with production engineering (Spark, AWS, Postgres, MongoDB). Proficient in Python, R, MATLAB, C++, and advanced NLP toolkits, he translates complex technical work into actionable insights for non-technical stakeholders. Based in Toronto, he pairs academic publications on consumer behavior and platform regulation with pragmatic product delivery, and outside work he’s a nature-loving gamer—suggesting a curious, systems-minded approach to problem solving.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science(BSc), Industrial Mathematics, Bachelor of Science(BSc), Industrial Mathematics at Sharif University of Technology
Doctor of Philosophy - PhD, Business Administration and Management, General, Doctor of Philosophy - PhD, Business Administration and Management, General at University of Toronto
Master of Applied Science, Electrical and Computer Engineering, Master of Applied Science, Electrical and Computer Engineering at University of Waterloo
English, Persian