Summary
Yu-ray Li is a machine learning engineer with 10 years of experience applying ML and speech/NLP technologies to real-world products from e-commerce to voice AI. Currently at Aiello, he builds voice-based AI, improves ASR robustness (reducing hallucination and repetition), and designs LLM prompting frameworks and credibility metrics for long-text analysis. Previously at VeryBuy he delivered MLOps pipelines that cut PoC time by over 50%, trained image models for product tagging, and shipped language-model-based marketing tools that significantly raised CTR and push open rates. He combines hands-on model development (Whisper, GPT-family, PyTorch) with production engineering—load-balanced GPU pipelines, FastAPI services, Docker, and cloud deployments on Azure/GCP/AWS. Trained originally in photonics and electrical engineering at National Tsing Hua University, he brings a physics-informed, experimental approach to ML system design. Outside work he’s an active competitive coder and Kaggle participant with top-1% placement in Shopee Code League, reflecting strong applied problem-solving under pressure.
10 years of coding experience
2 years of employment as a software developer
Master's Degree, Photonics, Master's Degree, Photonics at National Tsing Hua University
Chinese, English