Stanley.
AI Software Engineer at Garmin Ltd., leading large-scale computer vision and GenAI platforms. I build LLM/VLM systems, design MLOps pipelines, and ship AI from research into production.
Hi, my name is
About Me
I am an AI Software Engineer at Garmin Ltd. (Nov 2023 – present), where I lead the development of an organization-wide computer vision platform scaling across 200+ active production services.
I lead GenAI adoption by evaluating 10+ LLM/VLM models through structured proof-of-concepts, producing internal technical assessments that guide company-wide model selection and shipping 5 use cases into production. I also mentor interns on AI system design and oversee cross-functional AI infrastructure end-to-end.
Previously, I completed my Master’s in Electrical Engineering at NTHU, conducting research in computer vision under Prof. Min Sun, which resulted in a publication at ICRA 2021.
Technologies I work with:- Python
- PyTorch / OpenCV
- Computer Vision
- LLM / VLM
- Docker / Kubernetes
- Apache Kafka
- Kong API Gateway
- Grafana
- MySQL / MongoDB
- Git / CI/CD
- vLLM
- Scikit-Learn
- C++ (CUDA/OpenMP/MPI)
Experience
Nov 2023 – present
- Led Large-Scale AI Deployment as the primary developer for an organization-wide computer vision platform, scaling and maintaining 200+ active production services.
- Led GenAI Adoption by evaluating 10+ LLM/VLM models through structured proof-of-concepts, producing internal technical assessments that guided company-wide model adoption and shipped 5 use cases into production.
- Mentored 2 interns on AI system design and production deployment, guiding them to independently deliver 3–5 production services and train 5 YOLO models within the AI Surveillance Platform.
Projects
Python
Computer Vision
Apache Kafka
MySQL
MongoDB
Scalable AI Surveillance & Analytics Platform
Lead Developer & PM at Garmin (Nov 2023 – present).
Centralized CV platform ingesting live camera streams across 200+ active services, automating monitoring of physical facility operations. Built a real-time anomaly detection pipeline publishing alerts via Apache Kafka.
Python
OCR
Computer Vision
Automation
AI-Powered Document Inspection System
Sole Developer & PM at Garmin (Mar 2024 – present).
Automated document verification pipeline combining OCR and computer vision image comparison, reducing manual inspection time by 90% while improving defect detection accuracy. Designed a human-in-the-loop review process that filters low-risk documents so operators focus only on flagged anomalies.
LLM
VLM
vLLM
Kong Gateway
Grafana
Enterprise VLM/LLM Research & API Governance
AI Researcher & Platform Owner at Garmin (Apr 2024 – present).
Continuously evaluate emerging models and open-source inference frameworks through structured POCs, producing internal technical assessments to guide company-wide adoption. Identified and validated high-value internal use cases for Vision-Language Models, bridging research and enterprise deployment. Administered the internal GenAI API platform via Kong Gateway — managing API key lifecycle, access control, and rate-limiting — and established platform observability through Grafana dashboards.
Computer Vision
Python
Research
Robust 360-8PA (ICRA 2021)
Redesigning the normalized 8-point algorithm for 360° FoV images.
Published at IEEE International Conference on Robotics and Automation (ICRA), 2021.
Education
Jul 2020 – Jul 2022
Master's Degree in Electrical Engineering
National Tsing Hua University (NTHU), Hsinchu, Taiwan
Advised by Prof. Min Sun at the Vision Science Lab (VSLab).
Research in computer vision, resulting in a publication at IEEE ICRA 2021:
Sep 2016 – Jun 2020
Bachelor's Degree in Bio-Industrial Mechatronics Engineering
National Chung Hsing University (NCHU), Taichung, Taiwan
Undergraduate researcher at the Precision & Micro Mechatronics Laboratory (PMML), advised by Prof. Yao-Chuan Tsai (Jul 2018 – Jun 2020).
Get in Touch
Open to new opportunities, research collaborations, and technical conversations. Drop me a line.