Summary
Waqar Muhammad is a Technical Lead and AI Systems Engineer based in Toronto with 9 years of experience building production ML, NLP, and full-stack solutions at enterprise scale. At CIBC he led delivery of ML/NLP tooling that halved AML investigator research time, launched the bank’s first public-facing APIs for Open Banking, and built a no-code NLP environment for non-technical users. His background in experimental physics and work on large-scale neutrino and dark matter experiments informs a data-first, rigorous approach to model validation, simulation, and privacy-preserving ML research like PATE. Comfortable bridging research and product, he combines hands-on Python, PyTorch/TensorFlow, and React development with stakeholder leadership to translate complex regulatory and business needs into deployable systems. An organizer and technical mentor from his early days running major student conferences and FIRST robotics, he brings both operational discipline and creative problem-solving to cross-functional teams.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Applied Physics, Bachelor’s Degree Applied Physics at Carleton University
Woburn C.I.