ML Engineer · AI Fairness · Montreal
王佳宜
Machine Learning Engineer & Consultant at Synechron. M.Sc. from McGill University (Mila).
Originally from Xi'an, China — I moved to Montreal for university, completing a B.S. in Mathematics and an M.Sc. in Mathematics & Statistics at McGill, researching deep learning and AI fairness at the Oberman Lab.
I now build RAG pipelines, agentic AI workflows, and full-stack ML systems for financial services clients at Synechron.
Consultant & ML Engineer · View projects ↗
Deep Learning Intern
Data Science Intern
M.Sc. Researcher
Adagrad Promotes Diffuse Solutions In Overparameterized Regimes
Theoretical and empirical study showing that Adagrad promotes more diffuse solutions in over-parameterized settings, offering potential advantages for deep learning optimization.
Tennis
On courts, in all weather.
Top Rope
Got into top rope recently!
Techno
Say no more.
Traveling
Next destination will be Albania:)
Always happy to connect — whether it's research, collaborations, or just a good conversation.