Summary
Prabodh Wankhede is a quantitative developer based in Montreal with nine years of experience applying machine learning to real-world problems across finance, biotech, and academia. A Mila/Université de Montréal graduate, he has built production ML pipelines and compact, fast models—evidenced by work that cut model size by 67%, inference time by 40%, and achieved near-perfect anomaly detection in biomanufacturing. At Squarepoint he advanced from desk quant analyst to quant developer, blending research-grade ML with low-latency production needs. Comfortable across PyTorch, TensorFlow, NumPy and data tooling, he also creates accessible analytics tools (Streamlit) and has tackled projects in ASR, NLP, CV and causal inference. Known for pragmatic engineering and an appetite for cross-domain problem solving, he holds an open work permit for Canada and brings both academic rigor and production experience to ML-driven trading and analytics.
9 years of coding experience
Master's degree, Machine Learning, Master's degree, Machine Learning at Mila - Quebec Artificial Intelligence Institute
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université de Montréal
Bachelor of Engineering - BE, Computer Science, 7.79 (First Class with Distinction), Bachelor of Engineering - BE, Computer Science, 7.79 (First Class with Distinction) at Savitribai Phule Pune University