I am a Master of Computer Science student at the University of California, Irvine, with a passion for building robust, scalable, and intelligent software solutions. My expertise lies in full-stack development and applying AI to create practical, end-to-end applications. I am actively seeking a Software Engineering Internship for Summer 2026.
Reinforcement Learning for Optimal Circuit Placement | NaMI Lab
- Engineered an RL agent to automate and optimize the placement of circuit components, tackling a complex combinatorial problem.
- Initially implemented an L2C (Learn to Construct) algorithm but identified significant performance bottlenecks during testing.
- Pivoted strategy after conducting an extensive literature review, proposing and re-implementing the core model with a more effective L2S (Learn to Schedule) algorithm.
- This project enhanced my skills in independent research, problem-solving, and implementing complex models with Python and PyTorch.
Here are some of the projects I've built:
| Project Name | Description | Technologies Used |
|---|---|---|
| NextAI | A full-stack, web-based Q&A AI agent for querying PDF documents. Engineered a RAG system with an interactive UI. | React, Ant Design, Node.js, Express, Langchain, OpenAI API |
| Social AI | An AI-based social network where users can generate and share posts with the help of DALL-E 3. | React.js, Go, Google App Engine, ElasticSearch, OpenAI API |
| Dispatch+ | A full-stack dispatch and delivery management web application with user authentication and route generation. | React.js, Flask, Python, MySQL, Docker, Google Cloud Platform |
| "ShanShi" Recipe Platform | A recipe sharing and calorie management platform with a mobile component featuring a local ML model. | SpringBoot, Java, Vue.js, SwiftUI, MySQL, Redis, CoreML |
Languages:
Web Development & Databases:
Cloud, DevOps & Other Tools:
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