CS graduate based in Surrey, BC, with a focus on building ML systems for the Canadian financial sector. Completed B.Tech in Computer Science and Engineering with a Major in ML & AI from Punjab Engineering College, India. Currently completing the Investment Funds in Canada (IFC) course alongside applied AI projects grounded in Canadian regulatory frameworks: NI 81-102, Client Focused Reforms, CIFSC fund classification, and Fund Facts disclosure standards.

FundCompass — A hybrid AI suitability engine that matches Canadian investors to mutual funds using IFC regulatory rules, sentence-transformer embeddings, and LLM-generated suitability explanations. Deployed as a live Streamlit web app.

ML / AI

Data & Analysis

Tools & Deployment

Domain Knowledge

Started programming during undergrad with web tools and competitive coding, then shifted toward ML after getting interested in how language models handle domain-specific text. Most of my recent work sits at the intersection of ML/AI and Canadian financial regulation — an area where AI has real practical value but where most existing tools don't account for the local regulatory context.

Drawn to problems where domain constraints and interpretability matter as much as model performance.

📧 [email protected]
📍 Surrey, BC, Canada