Quant interview prep for Jane Street, Citadel, Two Sigma.
400+ problems with Python code editor, KaTeX math rendering, instant grading, and gamification. Next.js 15, React 19, Postgres (Aurora to Neon migration), Lambda for sandboxed execution. Actively used by candidates targeting top trading firms.
Practice mental math drills in your browser.
Practice mental math drills in your browser. Keyboard-driven, sound feedback, progress tracking. Vanilla JS, Manifest V3, zero external dependencies.
Macro research platform for 300+ quants.
Rebuilt PGI's static site into a TypeScript PWA backed by Postgres, aggregating RSS feeds and cutting manual research overhead. Enables analysts to monitor macro catalysts and event signals directly from mobile.
Multi-LLM workflow orchestration platform.
Built a full-stack platform for interacting with multiple LLMs in a single conversational workflow. Implements shared-context caching, multi-model routing, and intuitive UI for cost-efficient prompt chaining.
A campus quiz taken by 3,000+ NYU students (200k+ visits).
Launched and marketed a TypeScript web app in 4 hours of a purity questionnaire tailored to NYU culture. Reached 1,000+ completions in under 17 hours.
Cross-platform artist growth tracking for an Atlantic Records venture.
Aggregated Chartmetric, YouTube, TikTok, and Instagram signals into a centralized scouting dashboard. Implemented geo-based artist discovery to find emerging talent in targeted campaign markets.
Black-Scholes and binomial pricing with volatility sweeps.
Developed a Python tool to price European options using Black-Scholes and binomial models, analyzing how prices move across volatility regimes to illustrate Greeks and model behavior.