M.S. Computer Science @ Northeastern University (Silicon Valley) | B.S. Information Security @ Fudan University
I'm a graduate student focused on machine learning, computer vision, and full-stack development. Currently looking for 2026 Summer SWE / ML internships.
Languages: Python, Go, C/C++, Java, JavaScript, TypeScript, Dart
ML / CV: PyTorch, TensorFlow, OpenCV, YOLO, DeepFace, Tree-sitter
Backend: FastAPI, Flask, gRPC, REST APIs, WebSocket
Frontend: Flutter, React, PyQt6
Tools: Docker, Git, Linux, GDB, QEMU
End-to-end CV pipeline integrating TOPICTrack, UPAR, and YOLOFaceV2 for pedestrian detection, tracking, and attribute analysis. Fine-tuned 400M-parameter backbone, achieving 98% detection accuracy.
Multi-agent trip planner (Scout β Simulator β Validator) powered by Google Gemini API. Built with Flutter frontend and FastAPI backend with real-time WebSocket alerts.
TypeScript parser and control flow analyzer built on the LIAN framework. Transforms TypeScript AST into Glang IR and constructs control flow graphs for static analysis.
Fault-tolerant blockchain with PBFT consensus protocol, built in Go with gRPC. Features Merkle tree validation and concurrent architecture with sub-second latency.
- Email: zhu.k2@northeastern.edu
- LinkedIn: kai-zhu-12135537a