昌昀劉

@0001292

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AI/ML engineer specialized in LLM quantization and deployment.

Taiwan

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What I'm looking for

I seek an AI development role where I can apply LLM quantization, fine-tuning, and deployment skills, work cross-functionally, and drive practical model and workflow optimizations.

I am an AI/ML engineer specializing in LLM quantization and foundation models, currently pursuing a Master’s in AI Innovation.

I have implemented and fine-tuned deep learning systems with a strong focus on PyTorch development and workflow automation. At MediaTek and Broadcom I delivered workflow accelerations of 50% and 70% respectively through Python-based tools and optimizations.

My academic and project work includes LLM fine-tuning, Retrieval Augmented Generation (RAG), Hugging Face Transformers, LangChain experimentation, and software simulations to guide hardware acceleration. I have experience designing end-to-end LLM solutions, function-call based retrieval systems, and data pipelines for NLP and trend analysis.

I document clearly, collaborate across teams, and prioritize practical, deployable solutions. I am seeking roles where I can apply LLM optimization, deployment expertise, and hardware-software co-design experience to build impactful AI products.

Experience

Work history, roles, and key accomplishments

Impedance Engineer

Broadcom

Designed and implemented a Python-based automated workflow system that reduced processing time by 70%; led technical documentation and cross-functional optimization efforts.

Python Workflow Automation Process Optimization Technical Documentation Cross Functional Collaboration Verilog TestBench Development Git

EDA Software Engineer

MediaTek

Implemented and optimized LLM-based workflows, achieving 50% acceleration in processing speed; developed Python automation tools and authored technical documentation for cross-team use.

Python PyTorch Linux Git

Education

Degrees, certifications, and relevant coursework

National Yang Ming Chiao Tung University

Master's Degree, Artificial Intelligence Innovation

Activities and societies: Coursework in machine learning and deep learning; hands-on experience with LLM fine-tuning, RAG, and AI model simulation for hardware acceleration; project work involving LLM calibration and deployment.

Pursuing a Master's in Artificial Intelligence Innovation at National Yang Ming Chiao Tung University, focusing on LLM calibration, fine-tuning, and Retrieval-Augmented Generation (RAG). Designed software simulations of AI models to guide hardware acceleration development.