Senior Machine Learning Engineer at Roper Technologies, Inc.
Old Toronto, Ontario, Canada
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Shuvendu Roy is a Senior Machine Learning Engineer and AI scientist with a decade of experience bridging research and production, with roles at Google Research, Vector Institute, RBC Borealis and Roper Technologies. He specializes in LLMs, generative and multi-modal models, and unsupervised/few-shot learning, and has translated research into deployed systems—reducing inference latency by 90% in one project and designing agentic workflows for compliant automation in finance. A prolific researcher with 35+ papers in top venues, he combines deep academic rigor (PhD candidate at Queen’s) with practical engineering skills in Python, PyTorch, TensorFlow and JAX to scale real-world ML pipelines. Notably, he has led multi-modal healthcare foundation-model work that cut annotation costs and proposed few-shot tuning approaches now published in TMLR. He looks for opportunities to drive innovation at the intersection of research and product, especially where multi-agent and long-context LLM systems add measurable business value.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Khulna University of Engineering and Technology
Doctor of Philosophy (Ph.D) in Electrical and Computer Engineering, Doctor of Philosophy (Ph.D) in Electrical and Computer Engineering at Queen's University
Contributions:1 PR, 73 pushes, 1 branch in 1 year 8 months
nlpsentencelstmsuggestnotepad
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.