📍 Based in Toronto, Canada · 🎓 Graduating Dec 2026 · 💼 Open to Fall 2026 Co-op & Full-Time roles
I'm a Master's student in Information Systems at Northeastern University with 6+ years of business experience transitioning into data and AI engineering. I love building systems that turn messy data into clear decisions — from normalized databases to multi-agent AI pipelines.
- 🛠️ Currently working on: AI Applications (INFO 7375) and Data Architecture for BI (DAMG 7370)
- 🌱 Learning: distributed systems, agentic AI patterns, LLM fine-tuning on Apple Silicon
- 👩🏫 Teaching Assistant for INFO 5100 (Java Application Engineering) — 2 semesters
- 🌐 Languages: Mandarin (native) · Japanese (fluent, MBA in Tokyo) · English
| Project | Stack | Highlights |
|---|---|---|
| Portfolio Risk Radar | Python · Claude API · rapidfuzz · Slack | Screens entities against 5,800+ UN/UK/World Bank/OFAC sanctions · LLM-as-filter removes 60–80% of false positives |
| Text-to-SQL LoRA + MLX | Qwen 2.5-3B · LoRA · Apple MLX | Fine-tuned 3B LLM in ~33 min on MacBook M4 · +4% Exact Match, +12.3% BLEU on held-out test set |
| Kafka Multi-Agent Fraud Detection | Apache Kafka 3.6 · Docker · Python | 3-agent event-driven workflow · idempotent processing · KRaft mode · production-style durability |
| TechFlow RDBMS | Oracle 19c · React · Node.js · Express | 15-entity 3NF database · 20+ REST endpoints · Led team of 3 |
Languages: Python · Java · SQL · JavaScript · Swift
Data & ML: pandas · NumPy · scikit-learn · PyTorch · Hugging Face · rapidfuzz
Databases: Oracle 19c (3NF) · MongoDB · MS SQL Server
Backend & Infra: Node.js · Express · Apache Kafka (KRaft) · Docker · REST APIs
Frontend: React · SwiftUI
AI / LLM: Claude API (Anthropic) · MLX · LoRA · MCP · Prompt Engineering · Multi-Agent Patterns
- Anthropic: Claude Certified Architect (Foundations) · Building with Claude API · Claude Code in Action · Intro to MCP · Intro to Agent Skills
- 📧 wu.re@northeastern.edu
- 📍 Toronto, ON · Open to relocate for the right opportunity


