Software engineer focused on automation, reliability, and thoughtful system design
Software engineer and quality leader focused on building reliable, well-tested systems that people can trust.
My work sits at the intersection of automation, embedded systems, and backend services, where correctness, observability, and long-term maintainability matter more than quick fixes. Outside of work, I stay active with chess, Brazilian jiu jitsu, and strength training. This site is a home for my projects, writing, and experiments—technical and otherwise.
Learn more about me →Some of my recent work and creations
A neural network-based stock price prediction system using Long Short-Term Memory (LSTM) networks. Built as a final project for CS 682 Neural Networks course at UMass Amherst. Implements a multi-layer LSTM architecture with dropout regularization, layer normalization, and early stopping for predicting daily stock closing prices.
A full-featured web application for generating detailed astrological birth charts with AI-powered interpretations, interactive chat, and synastry analysis. Built with Flask, PostgreSQL, and integrated with OpenAI/Anthropic for personalized chart readings.
A modern, responsive website for Thrive Beyond Coaching LLC - dynamic coaching for cancer survivors and their loved ones. Built with Next.js, TypeScript, and Tailwind CSS with a warm, supportive design.
Thoughts, tutorials, and insights
Explore how the classic 'Secretary Problem' from optimal stopping theory can inform hiring decisions, and learn when to trust the math versus when to trust your intuition.
Read More →Learn how to build comprehensive test suites for modern web applications using Playwright, covering end-to-end testing, component testing, and best practices.
Read More →A deep dive into building LSTM networks for time series prediction, covering architecture design, training strategies, and evaluation techniques.
Read More →Have a project in mind or want to collaborate? I'd love to hear from you!
Get In Touch