PinChi Huang

Software Engineer @ 凌群電腦股份有限公司

About

I am a Backend Engineer with comprehensive mastery over the entire software development lifecycle, from System Analysis (SA) and System Design (SD) to final implementation. My core stack centers on Node.js, PostgreSQL, and RabbitMQ, designed for high-concurrency and scalable enterprise architectures. I firmly believe that a robust backend foundation is the prerequisite for technical innovation. To that end, I am dedicated to implementing Clean Architecture and DevOps standards to ensure system resilience amidst rapid iterations.

Country

City

Taiwan

Industry

Information Services

Skill

Vector Search, MongoDB, Multi-Agent System, RAG/GenAI, Large Language Models (LLM), OpenAI API, Ffmpeg, ChromaDB, Pandas, Whisper, Gemini, AI and ML on AWS, Amazon Web Services (AWS), Artifical Intelligence, AWS Cloud, Foundation Models, Maching Learning, Azure Bot Services, Azure Machine Learning, Cognitive Services

Experience

Software Engineer

凌群電腦股份有限公司

2023-7 - Present · 3 yrs 3 mos

Taipei City, Taiwan

1. AI-Powered Development (SDLC Optimization) - AI-Driven Workflow: Integrated NotebookLM and AI Agents into the SDLC, automating requirement analysis, architecture mapping, and TDD generation. - Engineering Standards: Developed a proprietary AI Code Review extension and automated Git Commit tools; institutionalized AI-assisted TDD, significantly reducing system regression rates. - Quality Defense: Combined AI tools with ESLint/Husky to establish a robust, human-in-the-loop security boundary for all AI-generated code. 2. System Architecture & Security - Full-Stack Leadership: Led SA/SD for Node.js/PostgreSQL systems; designed 50+ complex tables ensuring high data consistency and scalability. - Security & RBAC: Re-engineered multi-role access control (RBAC) and implemented strict log filtering/sensitive data protection to ensure enterprise-grade security. 3. GenAI & RAG Implementation - RAG Architect: Developed multiple RAG systems featuring semantic chunking, intent classification (anti-injection), and the RAGAS evaluation framework. - Innovation Recognition: Led technical selection and implementation, resulting in a finals appearance at the MOEA Smart Innovation Awards and an invite to AWS GenAI Day. 4. Performance & High-Output Delivery - Optimization Expert: Reduced core page load times from 40s to <5s through advanced Index optimization and Sequelize query tuning. - High Velocity: Maintained a record of delivering 20+ production-ready APIs per week while managing 10+ cross-domain projects (Node.js, ASP.NET, PHP).

AI Intern

ioNetworks INC.

2023-3 - 2023-7 · 5 mos

New Taipei CityTaiwan

- Performed precise object detection and classification labeling using LabelImg, ensuring high data accuracy and consistency across datasets according to project specifications. - Conducted rigorous Quality Control (QC) through cross-validation and error reporting to eliminate "noisy data" and ensure the integrity of the model training set. - Collaborated with R&D engineers to refine labeling guidelines and resolve edge cases, maintaining a unified standard for complex image scenarios. - Developed a foundational understanding of Computer Vision (CV) and Machine Learning (ML) workflows, fostering strong attention to detail and data governance practices.-