I am a Master's student in Electrical and Computer Engineering at Johns Hopkins University, focused on backend engineering, AI agents, and data-driven applications.
Recently, I built a Medical RAG Agent featuring ReAct-based tool use, short- and long-term memory, hybrid retrieval, and PostgreSQL-backed medical record workflows. Previously, as a Software Engineer Intern at Datalynn, I developed asynchronous scraping pipelines that processed more than 180,000 rows per day and increased throughput by 4×.
Technologies
Backend Systems · AI Applications
A production-style medical AI assistant combining FastAPI and ReAct orchestration, hybrid retrieval, short- and long-term memory, and structured PostgreSQL medical-record workflows.
Backend Systems · High-Concurrency Systems
A high-concurrency e-commerce platform providing merchant information search, flash-sale coupons, and intelligent customer service.
DatalynnNew York, NY
June 2025 – August 2025
Built asynchronous web-crawling and backend data pipelines using Python, Playwright, FastAPI, and MySQL, processing more than 180,000 rows per day and improving system efficiency by 4×.
Sunny Optical (Zhejiang) Research Institute Co., Ltd.Zhejiang, China
July 2023 – August 2023
Developed Unity and C# features for Android-based VR devices, including See-Through mode, testing tools, and performance improvements that reduced positional-data capture latency to approximately 100 ms.
Open to software engineering internship and full-time opportunities.
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