ZI-YU (DAVID) HUANG

AI Engineering Manager | Test Automation & MLOps | Python

Taipei, Taiwan | +886-930-434-241 | moon.starsky37@gmail.com | linkedin.com/in/davidhuang0304 | github.com/moonstarsky37 | Google Scholar: scholar.google.com/citations?user=RNvt85EAAAAJ

Professional Summary

Engineering manager with 6+ years of Python development (5+ years full-time industry) specializing in AI systems, test automation, and MLOps. Led a team of 3–4 engineers delivering 12 government and enterprise projects in 2024, each shipped with a formal test plan and passing client user acceptance testing (UAT) and system integration testing (SIT). Co-inventor of Taiwan Invention Patent No. I925616 for TronCube, a 17-microservice geospatial data-warehouse platform with automated test suites and GitLab CI/CD. Reduced AI model delivery cycles by 70% (3–4 months to under 1 month) through module standardization, and converted an on-premises LLM proof of concept into a signed government contract.

Core Competencies

Testing & Quality: Test Automation, Test Plan Authoring, Unit Testing (unittest, pytest), Integration Testing, Stress Testing, System Integration Testing (SIT), User Acceptance Testing (UAT), SonarQube Quality Gates, CI/CD (GitLab CI), Test Dataset Design, Annotation Standards, Defect Tracking, SLA Operations

Programming: Python, SQL (PostgreSQL), C++, Node.js, Golang, R, Java, RESTful API (FastAPI, Swagger)

Cloud & Infrastructure: Docker, Kubernetes, Terraform, Google Cloud Platform (GCP), AWS, Airflow, Proxmox VE, Grafana, Loki, RabbitMQ, PgBouncer, GeoServer, Infrastructure as Code, Observability, MLOps

AI / Machine Learning: PyTorch, Computer Vision (YOLO, Mask R-CNN, U-Net, Detectron2, OCR), Time-Series Forecasting (Transformer, ConvLSTM), Large Language Models (RAG, Fine-Tuning, Function Calling, Ollama, Whisper), LiDAR Point Clouds, Remote Sensing, Edge AI (NVIDIA Jetson, DeepStream)

Leadership: Team Management, Cross-Functional Collaboration, Matrixed Organizations, Client Delivery, Technical Training (English), Patent Drafting

Professional Experience

Independent Software Engineer (Freelance)

Taipei, Taiwan | Jun 2025 – Present

Built a Python dividend-reinvestment modeling tool for a private client, projecting long-term share accumulation and total cost basis for a listed financial-holding stock from annual contributions, cash and stock dividends, and annual average market prices; delivered a companion Google Sheets version for spreadsheet-based users.
Backend contributor for the beta launch of mosir.app, a social micro-blogging content platform: built an article-posting bot integrating the platform's content APIs, ran integration tests against new API endpoints, and performed exploratory QA of the platform, reporting and verifying bug fixes pre-release.
Team entrant in the Magical Mirai 2025 Programming Contest (Tokyo), building an interactive lyric-driven web application on the TextAlive App API.

Section Manager (AI), Remote Sensing & AI Solutions — ThinkTron Ltd.

Taipei, Taiwan (geospatial-AI joint venture of Kokusai Kogyo (KKC), Japan, and Sinotech Engineering Consultants, Taiwan) | Jan 2023 – May 2025

Led a team of 3–4 AI engineers delivering 12 government and enterprise projects in 2024 while operating 25+ geospatial data services.
Institutionalized quality engineering: every delivery shipped a formal written test plan and passed client UAT and SIT; all project code passed SonarQube quality gates; defined a six-stage R&D process covering unit, integration, and stress testing with defect tracking.
Architected TronCube, a geospatial data-warehouse product of 17 microservices with unittest/pytest suites, one-command test targets, and GitLab CI; co-inventor of Taiwan Invention Patent No. I925616; adopted by 4+ government projects.
Re-scoped the New Taipei City disaster-response cloud platform to RESTful-API system integration when contractor hardware stalled, shipping on schedule and saving ~2.3 person-months.
Unified the company's time-series AI modules, cutting model delivery from 3–4 months to under 1 month; personally built the Taipei sewer water-level forecasting model (Transformer), validated on Typhoon Gaemi (2024) and deployed to production.
Delivered an on-premises LLM proof of concept for the New Taipei City Fire Department that converted into a signed 2025 contract; rolled out ChatGPT-assisted development team-wide and authored Claude adoption guidelines.
Presented 3 technical topics at the KKC symposium in Tokyo; delivered 4+ English-language training courses for APRSAF (Asia-Pacific space agencies forum) and enterprise clients in Vietnam.

AI Algorithm Engineer — ThinkTron Ltd.

Taipei, Taiwan | Mar 2020 – Jan 2023

Built containerized image-recognition and OCR services for the National Fire Agency's 5G AI rescue platform, streaming results in real time to AR glasses and the command center; deployed on the agency cloud for search-and-rescue teams.
Developed a nationwide rainfall nowcasting system (ConvLSTM) producing 3-hour forecasts every 10 minutes, feeding flood simulation via RESTful APIs; designed per-source error logging; operated reliably for multiple years.
Automated road-feature extraction (poles, lane markings) from LiDAR point clouds with SLAM for a Ministry of Economic Affairs HD-map program; defined annotation standards covering 5 object classes with 200+ labeled samples each; techniques entered the company patent portfolio.
Developed nearly all recognition models for a subscription AI pavement-inspection service (most classes at 85%+ mAP) and integrated in-vehicle edge hardware; supported commercial operations under a 24-hour-fix SLA.
Served as project and technical lead for an underground heritage-tunnel monitoring service (stereo camera + NVIDIA Jetson, IP66 enclosures, 4G uplink, real-time deformation measurement, earthquake alerts) — signed and delivered.
Achieved 95%+ validation accuracy with a Mask R-CNN landslide-detection model; built an aerial-image labeling and expert-review toolchain for the Forestry Agency, semi-automating a fully manual interpretation workflow.

Earlier Experience

Military Service, Taiwan | Sep 2019 – Mar 2020.
AI R&D Intern — ThinkTron Ltd., Taipei | Jun 2019 – Sep 2019. Developed data-processing and visualization components; contributed to the company entry that won the Taiwan R&D Award at the 2019 Asia Open Data Challenge.
AI R&D Intern — Coretronic Corp., Hsinchu | Jun 2018 – Aug 2018. UAV aerial-image object detection; 2D image segmentation models.
Full-Stack Developer — Industry-Academia Cooperation (Export Trade System), Taipei | Jul 2016 – Jun 2017. Node.js service development, relational database design, and production deployment.

Education

National Taiwan University — M.S., Industrial Engineering | Aug 2017 – Aug 2019. Thesis (with National Taiwan University Hospital, on hospital-provided CT data): 3D medical-image segmentation using sequential fully convolutional deep-learning networks.
National Chengchi University — B.S., Mathematical Sciences (dept. rank 3 of ~45, top 7%; GPA 3.82/4.00) and B.B.A., Information Management (double major) | Aug 2013 – Jun 2017.

Patent & Selected Publications

Taiwan Invention Patent No. I925616, "Geospatial Data Processing System and Method" (co-inventor; filed 2025, granted 2026, term to 2045); led patent drafting and filing.
Variational Grid Setting Network, IEEE IALP 2017 — first author, oral presentation (Singapore).
Two journal articles (2021) on AI for road-asset management and slope monitoring — J. CICHE 48(2); Geological Quarterly 40.

Certifications, Honors & Languages

26 Google Cloud skill badges (Kubernetes, Terraform, BigQuery, Cloud Security, and more); 2 NVIDIA Deep Learning Institute certificates (Jetson Nano, DeepStream).
Finalist (captain, 6-person team), "City Dashboard" Hackathon, Taipei Coding Festival 2023; Best Paper Award, IISE Asia 2018; invited speaker, PyCon Taiwan.
Languages: Mandarin Chinese (native); English (professional working proficiency — international presentations and 4+ courses taught in English); Japanese (basic).