Cheng-yi Chien is a research engineer based in Irvine with 10 years of experience building production-grade AI systems, immersive applications, and high-throughput backends. He specializes in LLMs and dialogue systems, having designed persona-stability frameworks, drift metrics, and memory retrieval pipelines that raised consistency in experiments from ~68% to ~94% and cut undesired phrase triggers by 83%. His background spans fine-tuning and deployment (LoRA, ChatGLM, RAG with FAISS), GPU-optimized inference stacks, and real-time chat integrations, plus earlier leadership in VR/AR, cloud infrastructure, and scalable streaming platforms. He publishes internal whitepapers and open-source work (Gemma Chatbot) and brings uncommon domain sensitivity—exploring ethical issues around AI memorialization and voice-data permanence. Currently available for global remote B2B contracts and open to visa-sponsored roles, he combines deep research instincts with hands-on production engineering.
10 years of coding experience
10 years of employment as a software developer
Master's degree Clinical Counseling and Applied Psychology, Master's degree Clinical Counseling and Applied Psychology at University of Southern California
Information Engineering Information Engineering, Information Engineering Information Engineering at Tamkang University
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