I’m an undergraduate researcher passionate about Machine Learning, Graph Neural Networks, Reinforcement Learning, and Large Language Models.
My work spans multi-objective reinforcement learning, agentic multimodal workflows, and open-source tools bridging research with practice.
- Former Visiting Academic at USC’s Institute for Creative Technologies (U.S. DEVCOM Army Research Lab)
- Undergraduate Researcher at UCLA Structures-Computer Interaction Lab (LLM-guided physics simulations & multi-agent systems)
- First-author publication in Springer Social Network Analysis and Mining, cited by Spotify Research (2024)
- 2025 Samueli Undergraduate Scholarship Recipient and Dean’s Honors List
| Languages | Frameworks & Libraries | Areas of Focus |
|---|---|---|
| Python · C++ · MATLAB · Java · JavaScript · SQL · LaTeX · Bash | PyTorch · HuggingFace · LangChain · LlamaIndex · ReactJS · FastAPI · Supabase | Graph Neural Networks · Reinforcement Learning · Large Language Models · Computer Vision |
Multi-Objective Reinforcement Learning Project (under review)
Developed a large-scale multi-objective RL system with novel evaluation metrics and Graph Neural Network (GNN) + Proximal Policy Optimization (PPO) training pipeline. Presented at SoCal CS REU Symposium 2025 at Harvey Mudd College.
Multi-Agent LLM Robotics
Designed agentic pipelines for physics-informed Neural Architecture Search and digital twin simulations, integrating OpenGL physics engines, Intel RealSense video input, and Sawyer Robots with ROS.
- Under review (Multi-Objective Reinforcement Learning Project) – presented at SoCal CS REU Symposium 2025
- LLM-Guided Model Development of Elastic Structures – UCLA Undergraduate Research Week 2025
- Unveiling Music Genre Structure Through Common-Interest Communities – Springer Social Network Analysis and Mining (2022)