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Experience

UC Berkeley · BS EECS · 4.0/4.0 · May 2027
Software Engineering in Test
ASML
San Jose, CA · May 2026 – Aug 2026
Incoming
CS Intern — Backend
BalanX-BIO
Remote · Jan 2026 – Present
  • Architecting high-performance Express.js backend for an AGI Health Coach with server-authoritative synchronization engine for real-time state consistency
  • Engineered AI Orchestrator Proxy interfacing with LLM APIs, managing dynamic context injection (personality vectors, health summaries) for personalized health insights
  • Designed offline-first conflict resolution logic for seamless data sync across HealthKit and Google Fit devices
  • Built automated data pipelines using AWS EventBridge and Lambda for daily health metric aggregation, secured via Cognito and JWT
Express.js AWS LangChain
Undergraduate Research Assistant
UCSF
San Francisco, CA · Aug 2025 – Present
  • Engineered high-throughput clinical extraction pipeline by decomposing monolithic tasks into modular sub-tasks; used in-context label propagation to reduce token consumption by 90%
  • Constructed 4,000+ entry domain-specific dataset and fine-tuned Qwen LLMs via QLoRA; implemented Self-Consistency checks ensuring 100% schema fidelity for medical compliance
  • Optimized inference infrastructure using vLLM and PagedAttention — 3× throughput increase for long-context medical records, ~80% VRAM reduction via quantization
PyTorch QLoRA vLLM MedSpacy
Lead Systems Architect
UC Berkeley — GradeView / GradeSync
Berkeley, CA · Aug 2025 – Present
  • Engineered distributed course management ecosystem, migrating fragmented legacy data into high-concurrency PostgreSQL cluster with normalized schema
  • Optimized system-wide read performance with Redis-backed caching layer and Python pre-rendering service — 95% query latency reduction
  • Hardened infrastructure with Row-Level Security and granular RBAC for 100+ concurrent students and staff
  • Resolved 200+ N+1 query patterns; deployed Nginx reverse proxy for 70% reduction in deployment overhead
React Node.js PostgreSQL Redis
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GradeView: Mastery Learning Dashboard

Developed under the guidance of Prof. Garcia (UC Berkeley)

An open-source instructor dashboard designed to facilitate mastery learning in high-enrollment Computer Science courses. The system features a robust data pipeline that aggregates and normalizes scores from disparate sources—including Gradescope, PrairieLearn, and iClicker—into a unified "Student View."

React Node.js Express PostgreSQL Redis
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DA Chat: AI Educational Assistant

A comprehensive AI assistant designed to help De Anza College students navigate campus resources and academic transfer processes. The system utilizes Retrieval-Augmented Generation (RAG) to answer queries regarding college policies and procedures with high accuracy.

It features a gamified transfer planning module and an intelligent course counselor agent that utilizes OpenAI function calling to query a backend MySQL database for real-time course availability.

Spring Boot Vue.js OpenAI API MySQL
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NLP Pipeline for Medical Data Structuring

Clinical Note Structure Extraction

Designed a high-precision NLP pipeline to convert unstructured clinical notes into standardized, structured outputs. The architecture leverages Low-Rank Adaptation (LoRA) to efficiently fine-tune Large Language Models (LLMs) for medical context, integrated with MedSpacy for domain-specific entity recognition.

Python PyTorch MedSpacy LoRA vLLM
Live Demo: Unavailable (Privacy Policy)
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About

Who

EECS at UC Berkeley, graduating May 2027. I build systems at the intersection of infrastructure engineering and applied AI — clinical NLP pipelines, distributed course management platforms, and backend systems for health tech. Currently researching LLM optimization for clinical data extraction at UCSF and engineering backend infrastructure for an AGI health platform at BalanX-BIO. Incoming SWE intern at ASML (Summer 2026). Biased toward things that ship, scale, and matter.

Skills
Languages
Python, Java, C/C++, SQL, TypeScript, JavaScript
Frameworks
FastAPI, React, Node.js, Spring Boot, Next.js, LangChain
Cloud & DevOps
AWS, Kubernetes, Docker, Terraform, CI/CD
AI & Data
PyTorch, vLLM, LoRA/QLoRA, MedSpacy, HuggingFace
Links
weszhang@berkeley.edu LinkedIn GitHub
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