Projects

Gauntlet AI Cohort 3

Selected for highly competitive AI development program (1.2% acceptance rate). Developed complete applications weekly using cutting-edge AI development techniques including LangChain and MCPs.

LangChain MCPs AI Development

OpenT3 Chat

Open source hackathon clone of t3.chat.

Next.js TypeScript AI/ML

The Feed

Sleep tracking web app that parses sleep data and analyzes the effect of sleep supplements on sleep quality. Collects user responses via Twilio for real-time data gathering and analysis.

React Native FastAPI Python Twilio

Marathon Training Fullstack App

Lead fullstack engineer for marathon training app with ~20k waitlisted users. Built with React Native, Supabase, and AWS infrastructure. Features training pace algorithms, nutrition guidelines, and lifting routines following Figma designs from UI/UX team.

React Native Supabase AWS CDK SQS S3

Machine Learning for Trading Application

Stock trading application using hand-rolled decision trees, linear regression learners, XGBoost, and technical indicators to predict portfolio performance. Implements various ML algorithms to analyze market data and optimize trading strategies.

Python XGBoost Machine Learning Technical Analysis

In Progress

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