A working journal on applied AI and the quiet edges of the market— kept by a Management Engineering student at Waterloo, with a dinosaur for company.
I’m a Management Engineering student at the University of Waterloo. By day I consult on data & AI problems for banks at Tiger Analytics. On the side I’m an ML researcher at WAT.ai on InsightPulse— a cross-asset intelligence platform turning unstructured market text into trading signals.
My interest sits at a particular intersection: applied AI, capital markets, and the discipline of putting real money into live markets. I want to do this work full-time at firms that take both halves seriously.
Building data and AI solutions for global banking clients. Working under Mohit Garg (Associate Vice President & Portfolio Head, BFS) on credit, risk, and quantitative analytics workflows.
ML researcher on a cross-asset financial intelligence platform. Building NLP pipelines that pull trading signals out of earnings calls, filings, and market commentary.
Nutrition platform with two sides under one roof: AI-generated personalised diet plans, and one-on-one consults with expert dieticians. Co-founded; involved across product, ML, and growth.
Process and inventory analytics for a medical device manufacturer. First time using data to drive operational decisions in a regulated industry.
A cross-asset financial intelligence platform. Take in unstructured text from earnings calls, filings, analyst commentary; spit out ranked, time-stamped trading signals through a small API.
An autonomous LLM agent that writes institutional-style investment memos: pulls fundamentals, screens news, builds a thesis, drafts the long form — with citations — in under a minute.
Co-founded a nutrition platform that runs on two sides at once: AI-generated personalised diet plans, and one-on-one consults with expert dieticians. Both the algorithmic and the human path under one roof.
Co-authored peer-reviewed research on the mental and physical health effects of digital gaming on teenagers. Published in the International Journal of Advanced Research (IJAR), 2024, with Dr. Vinay Goel, Chairman of Neurology at Medanta.
A small personal portfolio I've kept since June 2025. Real money, modest sums, tracked carefully.
The portfolio is built around ETF-driven thematic exposure — broad indexes, precious metals, US tech via Nasdaq 100, and one targeted sector bet on defence. Long holding period, minimal turnover, position sizing driven by conviction not optionality.
It is a modest sum. The point is the process.
At my size, any edge from individual stock picking gets eaten by execution friction and the urge to fiddle. ETFs let me express a thematic view with single-digit expense ratios, no idiosyncratic blow-up risk, and a clean process I can actually stick to.
Defence is in a structural reshoring cycle globally — multi-decade capex commitments, indigenization mandates across major economies, a long order book. Policy-backed rather than cyclical; the thesis plays out across European primes, US defence, or any clean expression of the trade.