Applied Machine Learning Scientist II, Generative AI
Toronto, Ontario, Canada
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Behnam Asadi is an applied machine learning scientist with a decade of experience blending generative AI research and production validation, currently focused on RAG models and LLM agents at TD. He builds automated evaluation pipelines—LLM-as-a-Judge, embedding metrics, and synthetic prompt generators—and has shipped practical tooling like a PDF–Markdown round-trip evaluator to quantify document conversion fidelity. Concurrently a research associate at York University, he advanced image and text generation/compression (Deep Fourier Machines, transformer-based text compression) and achieved notable gains over JPEG and gzip baselines. Comfortable moving models from theory to deployable services (Dockerized crime-forecasting with a 7% test error), he pairs strong academic foundations from York and Sharif with hands-on engineering across computer vision, NLP, and time-series. Not obvious from the title: his work has produced sizable empirical improvements (e.g., 25.5 FID improvement and 2x text compression vs. gzip) that reflect a rare mix of signal-processing insight and pragmatic system-building.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at York University
Bachelor's Degree, Double Major, Computer Science, Bachelor's Degree, Double Major, Computer Science at Sharif University of Technology
Contributions:4 commits, 2 pushes, 1 branch in 1 year 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Behnam Asadi - Applied Machine Learning Scientist II, Generative AI