I am a Computer Science master's student at UC San Diego focused on building machine learning systems that bridge perception, simulation, and real-world applications. My work combines computer vision, deep learning, and system design to transform raw data into structured, actionable representations.
I am particularly interested in end-to-end ML systems, including data generation, model training, and deployment in interactive environments. My experience spans 3D motion reconstruction, real-time signal processing, and retrieval-augmented generation systems, where both algorithmic design and system integration are critical.
I enjoy working on problems that require connecting multiple domains — from low-level performance optimization to high-level ML pipelines — and building systems that are not only technically robust but also scalable and practical.
University of California, San Diego
M.S. Computer Science
University of Michigan
B.S. Computer Science & Economics
Programming Languages
Python, C++, Java, JavaScript (ES6+), SQL, C#
Machine Learning & AI
PyTorch, TensorFlow, Transformers, Deep Learning, Computer Vision, LLMs, Retrieval-Augmented Generation (RAG), Uncertainty Modeling
Systems & Infrastructure
ML Pipelines, Real-time Systems, Distributed Systems, Data Processing Pipelines, REST APIs, Backend Engineering, Performance Optimization
Tools & Platforms
AWS (EC2, S3), Docker, Git, MySQL, Unity, HoloLens SDK, MRTK, Linux
Frameworks & Libraries
Flask, Spring Boot, Vue.js, LlamaIndex, ChromaDB
Specialized Areas
ML Systems, 3D Vision, Simulation Systems, Real-time Inference, AR/VR Integration, Data Generation Pipelines