Built a transformer-based semantic retrieval pipeline (dense embeddings, agglomerative clustering, gold-standard evaluation) and shipped automated QA/QC across 50+ census datasets from 10+ countries, guaranteeing 100% release accuracy for 200+ researchers.
I build clear, useful software and the ideas behind it.
Computer scientist and founder. Fast systems, clean interfaces, ideas moved from research into real impact.
About
Computer Science grad, University of Minnesota. Founder and builder, currently shipping GoTix and open to AI and GTM roles at early-stage startups.
Interested in how people and technology shape each other, and how thoughtful engineering makes complex ideas feel simple.
I work across the stack, from retrieval pipelines and models to the interfaces that make them usable, and care most about the path from research into real impact.
Experience
Hardened Java services on Azure Service Bus with schema validation, retry handling, and dead-letter processing across 1,000+ daily data transfers. Redesigned 10+ Angular and TypeScript screens, cutting manual data-entry time by 30%.
Led 2 lab sections (60 students) for a 200+ student Python course and built example-driven walkthroughs that lifted average section scores by 40%.
Projects
Verified peer-to-peer ticket marketplace for Big Ten students. 2,500+ monthly active users and 100k+ page views, grown fully organically. Won Grand Prize and People's Choice at BizPitch 2026.
gotix.live ↗Co-organized Minnesota's largest student hackathon for 200+ participants, mentors, and sponsors, and secured $20,000 in sponsorships and cash prizes.
joinoriginhouse.com ↗Ensemble model predicting Formula 1 race outcomes, reaching about 90% accuracy on multi-season data through feature analysis and ablation experiments.