AI Engineer | Medical ASR | Production Planning (MPS/MRP/SCM)
From Manufacturing Operations to AI Engineering — Domain Know-how Meets Production-Grade Systems
Yu-Yuan Chang
Fusing 8 years of industrial leadership with advanced AI engineering to deliver high-impact ASR, RAG, and production-ready models.
- Collaborating with 9 hospitals on medical ASR development
- Built Whisper / AdaLoRA / Multi-GPU training & real-time streaming architecture
- Managed NT$60B+ production scheduling & cross-department digital transformation
About Me
Over 8 years of experience in manufacturing operations and global business. Served as Assistant Section Manager leading the company's Production Planning & Scheduling team, overseeing NT$60B+ annual revenue production scheduling. Spearheaded VMI initiatives and cross-departmental automation systems as part of broader digital transformation efforts.
Earned an MSc in Data Analytics (Distinction) from the UK, bridging industrial optimization logic with modern data science to build a unique perspective that spans domain expertise and algorithmic rigor.
Currently an AI Engineer at ITRI, specializing in Medical ASR (Whisper/LoRA) and Multi-GPU training, dedicated to transforming AI technologies into robust solutions for complex business challenges.
Career Path
From Supply Chain Strategy to AI Research: A strategic synthesis of industry domain knowledge and advanced machine learning.
2015 – 2019
You-Ji Machine / Shanhua Industrial
International Sales Strategy
Spearheaded global market expansion and client retention, mastering cross-cultural negotiation and B2B business development.
2020 – 2023
Yieh Phui Enterprise
Production Planning Lead
Led the Production Planning & Scheduling team, overseeing NT$60B annual production scheduling. Spearheaded VMI and automated scheduling system initiatives.
2023 – 2024
Queen Mary University of London
MSc Data Analytics (Distinction)
Focused on machine learning, predictive modeling, and BI. Successfully transitioned from management to a technical core.
2025 – Present
Industrial Technology Research Institute (ITRI)
AI Engineer
Specializing in Medical ASR. Responsible for model fine-tuning, distributed training, and real-time streaming deployments across 9 hospitals.
AI Projects
Showcasing full-stack AI capabilities—from medical ASR research and RAG applications to intuitive frontend AI tools.
Medical ASR Fine-tuning
The Challenge
Standard ASR models often fail in clinical settings due to heavy acoustic noise and highly specialized medical terminology.
The Solution
Fine-tuned Whisper Large V3 Turbo using AdaLoRA; engineered a multi-GPU distributed training pipeline and a real-time WebSocket service.
Impact
Achieved a significant reduction in Character Error Rate (CER) for medical terminology; deployed for real-time inference across multiple hospital sites.
Self-Refining Framework for ASR
The Challenge
The high cost and scarcity of annotated medical speech data limit the scalability and performance of ASR models.
The Solution
Developed an ASR ↔ TTS closed-loop self-refining system (inspired by MediaTek research) to leverage synthetic data for performance gains.
Impact
Drastically reduced dependency on manual annotations via a 6-stage pipeline featuring 46 modular utility tools.
Corpus Annotation Pipeline
The Challenge
Raw audio from 9 different hospitals lacked standardization, making it unusable for direct model training.
The Solution
Built an end-to-end pipeline integrating Stable-Whisper forced alignment, Meta Denoiser, and hallucination detection.
Impact
Produced high-quality, standardized ASR datasets with an automated, multi-engine processing workflow.
Recommender System Analysis
The Challenge
Addressing data sparsity and cold-start issues to identify optimal recommendation strategies for diverse user scenarios.
The Solution
Implemented and benchmarked 7+ algorithms (CF, SVD, ALS, MLP, Autoencoder) on the MovieLens 20M dataset.
Impact
Delivered a comprehensive research report featuring cold-start simulations and visual performance benchmarks.
MedicalQA-RAG
The Challenge
Clinicians often struggle to quickly retrieve accurate information from vast, scattered medical documentation.
The Solution
Engineered a RAG-based Q&A system using LangChain, Qdrant vector database, and a multi-LLM backend architecture.
Impact
Streamlined the transition from document retrieval to intelligent Q&A, including automated health education report generation.
AI Pipeline Designer & Image Enhancer
The Challenge
Non-technical users need an intuitive way to compose and execute complex image processing workflows.
The Solution
Built a visual pipeline designer using React 19 and TypeScript, integrating Gemini API for intelligent image optimization.
Impact
Enabled drag-and-drop workflow customization, allowing AI to automate and optimize image processing steps.
Skills
Core Expertise
Medical ASR
Data Pipeline Engineering
Model Fine-tuning & Training
LLM & RAG Applications
Supporting Skills