Professional Overview
TÜV Rheinland certified Industrial Artificial Intelligence Engineer graduated from HKUST(#33) majoring in Artificial Intelligence. Work interests include Agent Design, Prompt Enginnering, Embodied AI, Multi-modal model, Generative AI etc. Got skills like LangGraph, LangChain, RAG etc. Experiences include academic researcher and industrial developer
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Embodied agent, modular skill primitives, planning logic – core robotics/AGI key
- Distributed training/inference on DSW clusters – cloud/comp MLOps capability
- Cross-modal retrieval, multi-factorial quantitative benchmark, evaluation pipeli
- Parametric 3D editing, procedural pipeline – world model/generative AI expertise
Education
Field of Study: Agentic AI / Embodied AI / VLM / Multi-modal GenAI / Large Language Model
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
