🎓 Computer Science @ UC Santa Cruz (B.S. ‘26)
🚀 Founding Engineer @ Pearson Labs (YC F24)
🧠 AI | Systems | Full-Stack | Mobile | DevOps
I’m an engineer who loves building intelligent systems that actually ship — from scalable AI pipelines to production-grade web and mobile apps.
At Pearson Labs, I lead the engineering of an AI-powered Dropbox for legal teams, reducing delivery costs by 40–60% through RAG pipelines, multi-region sharding, and real-time document automation.
Beyond that, I’ve built and deployed across domains — e-commerce, GenAI, and developer tooling — always focused on combining reliability, speed, and good design.
Languages: Python, C, C++, TypeScript, Dart, Java, SQL
Frameworks: Next.js, React, FastAPI, Flutter, Node.js, LangChain
DevOps: AWS (Lambda, EC2, S3), GCP, Firebase, Supabase, Docker, Kubernetes, Terraform, Hatchet, Railway
AI: RAG, OpenAI Realtime & Assistants API, NLP, Vector DBs, GraphRAG
AI-powered legal document platform supporting 100K+ uploads with <5s end-to-end latency, built with ETL pipelines, audit logs, and RBAC.
AI DevOps agent that monitors CI/CD pipelines, detects failed merges, and provides automated remediation using FastAPI + Jira integration.
Full-stack e-commerce platform built with React Native + Next.js, integrated with Stripe and Firebase, tripling store revenue.
VP of Engineering, leading cross-functional teams to deliver web/mobile apps for nonprofits using React Native, Firebase, and AWS RDS.
- Low-latency model serving and edge inference
- Multi-agent orchestration with MCP servers
- AI evaluation pipelines for RAG and agentic systems
⭐ “Build it. Ship it. Scale it.”