experience.
Software Engineer
- Coming Soon...
Software Engineering Intern
- Engineered a full-stack RL training environment for a GRC platform, designing and implementing scalable APIs, frontend interfaces, and unified Docker/nginx deployment using TypeScript, FastAPI, and SQLAlchemy/SQLite
- Built a Python MCP server exposing tool calls for Excel report generation (charts, formulas), reducing manual data entry by 50%+, and integrated it into a Harbor benchmarking pipeline using LLM verifiers to score trajectories and outputs
- Authored and executed detailed QA plans for a full-stack application, validating state consistencies and user flow
- Developed a Python CLI/pip package for LLM-driven FK-safe data generation with async batching (10–20+ calls/row)
Software Engineering
- Refactored backend and Docker, React, and Django workflows for 50,000+ monthly users, cutting loading times by 20%
- Automated scripts to populate new enrollment information utilizing Redis for caching and cutting API calls by 33%
- Scaled PostgreSQL backend and parsers on 10 DigitalOcean VMs, supporting over 1M+ views monthly site visits
Computational and AI Epigenetics Researcher
- Built genomic tokenization and embedding pipelines using Python, PyTorch, and Hugging Face Transformers to analyze plasma RRBS DNA, processing over 17 million+ reads to classify samples using SeqIO, NumPy, Pandas, and XGBoost
- Applied PCA, UMAP, and LLM-based genomic embeddings to visualize methylation variance relationships across samples
Software Engineer
- Developed a full-stack React, Next.js, Supabase, TailwindCSS, and Vercel, serving 200+ users since launch
- Constructed and optimized SQL queries and API integrations to sort over 100+ reviews across 1,400+ club entries, streamlining data aggregation, improving accuracy, and workflow efficiency for development and deployment
- Worked alongside a 14-person cross-functional team to translate Hi-Fis into functional UI features using TailwindCSS
Reinforcement Learning Researcher
BruinML Lab
- Collaborated with a three-person team to design and develop multiplayer DCM cascading bandits under reinforcement learning frameworks, targeting sublinear regret under unique action and reward information asymmetry settings
- Experimented with Thompson Sampling and UCB algorithms to analyze multi-agent, multi-click bandit performance
- Conducted large-scale simulations (100,000+ rounds) to validate theoretical bounds, measuring regret growth under varying exploration strategies (mMDSEE, UCB Intervals, Round-Robin Allocation)
Software Engineer
AdOptimal
- Ad-Optimal connects businesses with student organizations, simplifying processes for advertisements and transactions
- Built and maintained RESTful API endpoints to support real-time communication and payment processing, integrating with frontend components and ensuring reliable client-server interactions
- Developed and optimized partial-search functionality, improving search efficiency and cutting load times by 50%
- Utilized web scraping for data collection and implemented OAuth 2.0 with JWT for secure, stateless authorization
Machine Learning Researcher
Arisaka Elegant Mind Lab
- Collaborated with a 10-person team to develop affordable autonomous surgery robots under Prof. Arisaka and Yunbo Wang
- Established servomotor communication using ROS2, ESP32, and Python
- Trained and tuned ACT policies using PyTorch and Mujoco, stabilizing learning across 5000+ epochs of human demonstration data
- Boosted tracking efficiency through OpenCV for ultrasound reconstruction and biopsy operations
- Applied imitation learning with ACT, CNNs, and motor outputs to enhance robotic operations
Learning Assistant (CS 35L)
- Led 20–30 student discussion sessions on software construction, covering Emacs, networks, network security, scripting, operating systems, and software testing techniques
- Collaborated with course professors and independently conducted office hours to assist students with coursework and projects
Learning Assistant (Math 32B)
- Led discussion sessions of 20-30 students on course topics for multivariable calculus
- Collaborated with course professors and peers to align discussion sessions with course learning objectives