AI Systems · Full-Stack · Product Engineering

Creating production-ready AI systems and connected software experiences.

I blend AI engineering, full-stack development, and product thinking to turn technical complexity into stable solutions that teams and users can trust.

About

Engineer with a product mindset and system-integration experience.

My work sits at the intersection of AI systems, application development, and business operations. I have hands-on experience building deep-learning features, integrating IoT diagnostic devices, designing cross-platform applications, and supporting production system rollouts.

I am especially interested in roles where I can connect AI capability with real business needs: improving workflow efficiency, turning data into usable products, and making complex systems easier for internal teams, partners, and users to adopt.

Experience

Selected professional experience

Apr 2024 — Present

AI / Full-Stack Engineer (RDSS)

Jubilee International Biomedical Co., Ltd

  • Developed and deployed deep-learning models including R-CNN and YOLOv11 for dermatological image detection.
  • Designed cross-platform Flutter applications for web, iOS, and Android, connecting IoT diagnostic devices with PostgreSQL and Firestore analytics.
  • Collaborated with distributed engineering teams and external partners to debug data pipelines, document integration standards, and support deployment.
  • Automated build and deployment with GitLab CI/CD to improve release consistency and reduce manual effort.
  • Worked with product and UI/UX teams to turn AI outputs into user-facing features with clearer product value.
Sep 2021 — Jan 2022

Teaching Assistant

Department of Management Information Systems, National Chiayi University

  • Guided students in Python programming and supported course project design.
  • Assisted with assessment rubrics to strengthen problem-solving and teamwork skills.

Projects

Projects that show AI, systems, and product delivery ability

AI / Reinforcement Learning

Reinforcement Learning in Board Game “Calico”

Implemented MCTS, Expectimax, and Q-Learning agents for a non-deterministic board game environment. Evaluated fairness, performance, and exploration-exploitation behaviour under realistic simulation scenarios.

Python · RL · MCTS · Q-Learning · Simulation
Software Engineering

Barcode — Domain-Specific Modelling Language

Designed a Java-based DSML for automated cocktail preparation, including textual syntax, model transformation, validation, auto-correction, and JUnit-based model verification.

Java · DSML · Model-Driven Development · JUnit
Health Tech / IoT

Telemedicine System

Co-developed a cross-platform telemedicine system for pilot testing, integrating WebRTC consultation and wearable data tracking through Cloud Firestore.

Flutter · WebRTC · Firebase · Firestore · IoT
AI Deployment

Dermatological AI Detection System

Built AI-assisted image detection workflows for dermatology use cases, connecting model outputs to product interfaces and analytics pipelines for real-world deployment.

YOLOv11 · R-CNN · PyTorch/TensorFlow · PostgreSQL

Skills

Technical toolkit

Languages & Frameworks

Python, Flutter, Java, Swift, C/C++, React, Node.js

AI & Machine Learning

TensorFlow, PyTorch, YOLOv11, R-CNN, Reinforcement Learning, Model Optimization

Systems & DevOps

GitLab CI/CD, Cloud Deployment, API Integration, Automated Troubleshooting, Linux

Data & Product Integration

PostgreSQL, Firebase, Firestore, MongoDB, WebRTC, Device Telemetry, Technical Documentation

Education

Education

King’s College London

MSc Advanced Software Engineering · Sep 2022 — Jan 2024

Relevant coursework: Agents and Multi-Agent Systems, Software Measurement and Testing, Big Data Technologies, Security Engineering, Model-Driven Development, Distributed Ledgers and Cryptocurrencies.

Contact

Let’s build reliable AI-enabled systems together.

I am open to software engineering, AI application engineering, full-stack engineering, and enterprise system integration opportunities.