Projects

Open-source contribution to Backtrader, one of the most widely-used Python backtesting libraries (20,000+ GitHub stars).

A three-part research project analyzing capital allocation, investment decision-making, and behavioral execution.

Conducted independent equity research on Spotify, initiating coverage at Strong Buy with a $700 price target and 33% implied upside. Built from scratch, no template, no guidance.

Built & Published | A profitability analysis tool for product-based businesses, sold on Gumroad.

Passive behavioral intelligence for investment professionals.

Competing in Numerai, a global ML tournament where predictions are used to trade a live hedge fund.

A personal Bloomberg-style dual-monitor investment system built to consolidate market data, signals, and decision tools in one place.

Nov 2025, Feb 2026 | Python quantitative trading model applicable to all publicly listed securities.

First consulting engagement, full growth strategy for Rainmark Tutoring.

A working paper on reinvestment interruption and long-horizon equity returns: why the steadiness of a company's cash flow, not only its size, shapes how much shareholders compound over the long run.