Summary
Tanmay Baweja is a Machine Learning Developer with eight years of experience, currently pursuing an MS in Computing Science (Multimedia) at the University of Alberta while building production-grade ML systems at AltaML. He designs and ships real-time, on‑premise computer vision pipelines—most notably a patented Blackjack tracking system with 95%+ accuracy—combining YOLO, SIFT, homography, and tailored feature-classifier stacks for robust multi-object tracking and chip recognition. His work spans multimodal RAG architectures, Neo4j-backed knowledge graphs, and GenAI-driven multi-agent workflows to create chatbots that reason over images and structured data. Prior research includes SAR vessel detection and seizure prediction with transformer models, reflecting a strong foundation in applied research and publications. Known for pragmatic engineering (his GitHub jokes "Lazy programmer."), he balances lean, reproducible pipelines with experimental domain adaptation and production deployment on Azure.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computing Science, Multimedia, 4.0/4.0, Master of Science - MS, Computing Science, Multimedia, 4.0/4.0 at University of Alberta
Bachelor of Technology, Electrical and Electronics Engineering, Bachelor of Technology, Electrical and Electronics Engineering at Guru Gobind Singh Indraprastha University