I'm an EECS student at UC Berkeley interested in AI systems, World Models, Full Stack Development, Agentic AI, robotics, applied ML, and hackathons/building!.
Currently, I'm working on:
- 🧠 Machine Learning Pipelines and Full Stack Developement
- 🚁 World models and quadrotor dynamics at Berkeley AI Research / ARPL
- ⚖️ Verifiable AI systems, trusted execution, and agentic workflows
- 🧬 Computational biology and sequence-based prediction models
2nd Place, CalHacks 12.0 Promise Track; Presented and Demoed to Promise (YC 18)
Built an AI-assisted SSDI caseworker portal using document analysis, evidence snippets, reviewer workflows, and scalable claim prioritization.
Tech: AWS Lambda, SQS, AI Agents, Data Pipelines, React
GitHub
a16z Hackathon Winner — 1st Monetization Track, 3rd EigenLayer Track
Built an AI compliance platform that runs LLM document checks inside a Trusted Execution Environment and produces cryptographic proof logs.
Tech: React, TypeScript, Flask, Supabase, EigenCloud TEE, Docker
GitHub
1st Place, Customer Service & FinOps Track — Beat the Clock Agent Hack / a16z Boston Tech Week
Built a multimodal claims-resolution agent that combines voice transcripts, damage photos, receipts, policy reasoning, and audit logs into one verified decision workflow.
Tech: TypeScript, React, LLMs, Vision-Language Models, TTS, Agent Workflows
GitHub
Languages: Python, Java, C++, TypeScript, JavaScript, SQL, Swift
ML/AI: PyTorch, TensorFlow, Scikit-learn, CNNs, Transformers, LLMs, RAG, Computer Vision
Systems/Web: React, FastAPI, Flask, PostgreSQL, MongoDB, AWS, Docker, Linux
Robotics/EE: ROS 2, signal processing, control systems, quadrotor dynamics, embedded/edge AI
- AI agents
- Robotics, autonomy, and world models
- Healthcare AI and computational biology
- Trustworthy AI, privacy, and verifiable computation
- Startups!