I enjoy building things, and tinkering with new technologies. Here are a selection of projects that I have worked on over the years.
LogFlow AI is an intelligent logs analyzer that transforms raw system logs into proactive, actionable insights—empowering DevOps teams and business leaders alike. Recognized at HackMIT’s Y Combinator Startup Challenge (3rd place among 100+ teams), this platform leverages advanced machine learning and real-time analytics to predict failures before they occur, shifting the approach from reactive troubleshooting to proactive maintenance.
Amherst Connect is a one-stop hub for all campus events. It aggregates information from multiple sources and displays it in real time on a user-friendly map, weekly calendar, and stats dashboard. The platform highlights popular locations and times and allows users to filter events by location, time, and type to find activities that match their interests.
The Matching Engine is an end-to-end ML-based algorithm surrounded by Django-based, fully integrated infrastructure. It efficiently matches teams for i2i startup and pitch events based on participant responses compiled from a Google form.
MinervAI is an educational tooling platform for educators to simulate AI agents and gain insights into Diversity, Equity, and Inclusion (DEI). It won the Grand Overall Prize at HackUMass XI, worth over $3,200.
Implemented machine learning strategies, including decision-tree-based pairs trading and LSTM models, to optimize stock and portfolio trading.
Developed and backtested trend-following strategies in futures markets, incorporating statistical analysis and advanced modeling.
Engineered a sentiment-based volatility predictor and trade recommender bot using the Black-Scholes model and Twitter API.
A data analysis project examining COVID-19 trends, mental health, and sentiments in the US using statistical and spatial data techniques.
A multi-threaded Java application that ensures thread-safe account transactions using distributed computing principles.