Summary
Abhay Puri is a Staff Research Engineer/Scientist based in Montreal with nine years of experience building and stress-testing applied ML systems across computer vision, multimodal models, and agent safety. With dual master's training from Mila and Université de Montréal, he has moved research ideas into production—developing facial recognition and age/gender pipelines at Jumio and leading high-impact adversarial and evaluation research at ServiceNow AI Research with 10+ papers at top conferences. His recent work includes tooling and benchmarks like DoomArena, AlignVLM, BigDocs and InsightBench that probe real-world agent vulnerabilities and capabilities, and he has demonstrated both how to break and how to harden AI agents. Versatile in Python and practical system design, he combines hands-on engineering with publication-grade research, and his background in semiconductor tooling gives him an unusual systems-meets-research perspective.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at Mila - Quebec Artificial Intelligence Institute
Master's degree, Computer Science, Master's degree, Computer Science at Université de Montréal
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at DAV Institute of Engineering and Technology
English, Hindi, Punjabi