Software engineer focused on production SaaS, AI/RAG systems, API integrations, and realtime web applications.
My work usually sits between backend architecture, product engineering, and AI tooling. I care about turning ambiguous product requirements into usable systems, integrating messy external APIs, and building features that survive real users.
- React, Next.js, TypeScript, Go, Python, Firebase
- OAuth2, third-party integrations, rate limits, pagination, and data sync
- RAG, OCR, computer vision, retrieval, ranking, and evaluation workflows
- WebSockets, realtime games, live event systems, and multiplayer product flows
- internal tools, dashboards, automation systems, and startup MVPs
- House Royale: multiplayer AI real-estate prediction game with Go WebSockets, React, FastAPI, scraped data, and 9 ML models
- GDG On Campus TU: student developer platform with event registration, realtime games, admin workflows, and 200+ concurrent live users
- EvalForge: AI prompt evaluation dashboard for comparing model outputs and tracking prompt performance
- PulseGuard: API monitoring and uptime dashboard with checks, incidents, and status pages



