Cut a full regression pass from ~16 hours to ~1-2 hours with a TypeScript end-to-end (E2E) test suite covering ~95% of previously manual cases across Linux, Windows, and macOS.
Automated issue triage with a GitLab Model Context Protocol (MCP) agent, pairing an LLM classification prompt with MCP tool calls to auto-classify, label, and route issues.
Shipped four context providers into a VS Code AI coding assistant, adding commit-history, OS-metadata, current-file, and repository-map context selected from an evaluation of candidates.
Cut hands-on onboarding support by authoring the assistant's Docusaurus documentation site.
Caught unbuildable layouts at design time rather than on install day with a six-rule geometric conflict engine that blocks any unit sealing a socket, pipe, or doorway while passing intended connections (45 tests).
Removed manual fixture surveying by localizing sockets from the same Swift and RealityKit scan with a classical-CV pipeline (thresholding, connected components, NMS) that ray-casts detections onto wall planes.
Research Assistant, Edge LLM Compression
Sep. 2025 - Feb. 2026
Wireless Ad-Hoc and Sensor Networks Laboratory, NCU · Taoyuan, Taiwan
Sharded teacher-student distillation across 3 GPUs with DeepSpeed ZeRO-2, splitting optimizer state and gradients, since ZeRO-3 sharding corrupts GPTQ-packed quantized weights.
Recovered 4-bit accuracy at 2-bit model size (IoU 0.9998, 1.18 GB) by fine-tuning a Llama-3.2 student with GPTQ quantization and LLM-Neo knowledge distillation in PyTorch.
Surveyed llama.cpp, vLLM, and SGLang for edge deployment, mapping latency versus throughput across PagedAttention, continuous batching, and prefix-cache reuse.
Authored the Vibe Coding column, translating AI coding workflows into hands-on tutorials that reached 50K+ readers and drove 42% platform content growth.
Designed and taught an AI-workflow course, plus the Her Path in Tech and Vibe Coding workshops, each reaching 200+ participants.
Frontend Engineer
Aug. 2024 - Jun. 2026
NCU College of Hakka Studies · Taoyuan, Taiwan
FrontendWeb PerformanceAccessibilitySecurity
Lifted mobile Core Web Vitals from 61% to 86% for 8,000+ monthly visitors, meeting WCAG 2.1 AA accessibility on a production site.
Remediated 17 security vulnerabilities across the codebase using automated review and scanning.
Designed a dual-strategy planner trading layered MST-DFS for structured-space traversal against collision-aware A* replanning, cutting path-generation time over 5× and path length up to 14%.
Built the 3D point-cloud pipeline in C++ and Python, slicing raw .pcd scans into layers and chaining per-layer KNN and MST into a DFS traversal, with normal-vector correction for full coverage.
Validated 100% collision-free operation in AirSim against a random-order baseline on real-world building models.
Museum Artifact Recognition App
May 2024 - Nov. 2024
SwiftTensorFlow LiteOn-Device InferenceiOSAWS EC2
Shipped on-device model inference in an iOS app, running the team's YOLOv8n and Pix2Pix reflection-removal models in Swift with TensorFlow Lite at 94.5% accuracy across 7 classes.
Integrated the iOS client with the team's AWS EC2 REST inference API, adding a cloud path for multi-user recognition.
Everything above is on one page, in ATS-friendly form, in my resume.