Get to know the election-result prediction model developed by Brown students
The Brown Daily Herald
Read More →Vermont-raised Brown CS grad with a passion for building high-impact software. I thrive on solving complex technical challenges and leading products from concept to launch and beyond.
I'm a software engineer driven by the challenge of turning ambitious ideas into reality. My time at Brown University gave me a deep technical foundation in computer science, which I've eagerly applied to building innovative, real-world products.
I'm passionate about the entire product lifecycle. I've led a cross-functional team to pioneer a new election forecasting model at 24cast.org, scaling it to 30,000 monthly users; I've shipped performance-critical factory software at BETA Technologies that transformed production workflows; and I've taken a digital health concept from initial user research to a shipped MVP.
I operate at the intersection of code, customers, and strategy, always focused on driving results. Energized by fast-paced environments, I love working with teams that are passionate about pushing boundaries and building exceptional software. I'm currently building the future at Constellation and always up for a chat—feel free to reach out!
Election forecast platform built with Next.js/AWS. Scaled to 30k+ MAU with real-time data processing and journalist-friendly insights.
Developed ML model using VGG16 architecture achieving 75% validation accuracy. Custom CNN implementation from scratch.
Weenix has halted cleanly!
Full Unix-like OS kernel with threads, processes, device drivers, file system, and virtual memory implementation.
The Brown Daily Herald
Read More →Brown University News
Read More →Download my full resume for a comprehensive overview of my experience and qualifications.
I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat, feel free to reach out.
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