Yasin Salimibeni
Data Science & ML Consultant
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolYasin Salimibeni is a Data Science & ML Consultant with eight years of experience building production-grade ML pipelines, LLM/GenAI integrations, and agentic retrieval architectures that turn messy unstructured data into governed, scalable intelligence. He blends modeling, infrastructure, and product thinking to design RAG and multi-agent workflows, harden systems for real-world variability, and run experimentation loops that measurably improve personalization and customer outcomes. His recent work includes architecting GraphRAG for adaptive learning and schema-first prompt tuning to reduce hallucinations at Top Hat, and consulting for enterprise clients like Sanofi via GenovoAI. Trained as an applied economist (HEC Montréal, PhD ABD) and an industrial engineer, he brings a rare mix of quantitative research rigor and practical deployment experience across education, fintech, and SaaS. Outside core engineering, he advocates for data-for-good and CSR, often embedding human-in-the-loop evaluation and observability to keep AI systems safe and reliable.
8 years of coding experience
15 years of employment as a software developer
Master of Business Administration (MBA) International Business Finance, Master of Business Administration (MBA) International Business Finance at Kish UniversityPhD in Administration (ABD) Applied Economics, PhD in Administration (ABD) Applied Economics at HEC MontréalBachelor of Engineering (B.E.) Industrial Engineering, Bachelor of Engineering (B.E.) Industrial Engineering at Sharif University of Technology
English, Persian, FrenchProgramming languages (1)
Github contributions (5)
yasinsb/Sudoku-Solver
Nov 2019 - Apr 2022
Contributions:5 pushes, 2 branches in 2 years 5 months
yasinsb/Classification-Report-as-DataFrame
Dec 2018 - Oct 2019
Contributions:7 commits, 1 push, 1 branch in 9 months
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