I build intelligent systems that solve real problems. My work spans machine learning research, full-stack development, and entrepreneurship. I'm drawn to challenges at the intersection of AI, policy research, and scalable product development. I focus on shipping tools that are both technically sophisticated and genuinely useful.
A cross-platform startup connecting people through music discovery. Building web (Next.js, GSAP, Tailwind, Supabase) and mobile (Flutter) experiences.
Built an agentic system using LangGraph that autonomously optimizes CUDA kernels. Exploring how AI can improve low-level performance optimization workflows.
Automated system that converts chemistry literature into structured knowledge graphs using fine-tuned LLaMA models. Bridges the gap between research papers and actionable data.
Leading ML team exploring domain-specific LLM use cases for environmental policy. Adapting AI agents with reinforcement learning optimizers (GRPO, MIPROv2) to support data-driven policy decisions.
Languages
Python β’ JavaScript β’ TypeScript β’ C++ β’ Rust β’ R β’ Java
ML/AI
PyTorch β’ TensorFlow β’ JAX β’ LangChain β’ LangGraph β’ RAG β’ Fine-tuning β’ RLHF
Frontend
React β’ Next.js β’ Flutter β’ Tailwind β’ GSAP
Backend & Cloud
Flask β’ Node.js β’ FastAPI β’ Supabase β’ Firebase β’ GCP β’ AWS
Systems & Tools
CUDA β’ Distributed Systems β’ Git β’ Docker
learning_goals = {
"AI/ML": [
"Reinforcement learning for agent optimization",
"Fine-tuning LLMs for domain-specific tasks",
"Scaling distributed training workflows",
"Agentic systems with LangGraph"
],
"Systems": [
"CUDA kernel optimization",
"Distributed systems architecture",
"Performance engineering at scale"
],
"Product": [
"Building 0β1 consumer products",
"Cross-platform mobile development",
"Growth and user retention strategies"
],
"Research": [
"Code retrieval and semantic search",
"Policy-oriented ML applications",
"NLP for scientific literature"
]
}Education
- Computer Science at University of Maryland
- Minor in Statistics
Philosophy
- I build systems that bridge research and production
- I ship quickly, iterate constantly, and optimize relentlessly
- I care about making AI useful, not just impressive

