In the past decade, I was working as a theoretical physicist (major in string theory, black hole physics, cosmology and holographic duality). I have 20+ SCI journal papers, conference papers and 500+ paper citations, and also invited to provide talks in the seminars and international conferences. I have strong background and good insights in (physics) model building and mathematical formulation. After leaving academic community, I worked as a machine learning researcher or data scientist, and also have two papers about applying the e-nose and machine learning method to classify various respiratory diseases in the projects collaborating with National Taiwan University Hospital. I also have some experiences in the deep learning models such as CNN, RNN, ...etc. Now I am a AI engineer to develop a lightweight mulit-task (object detection, segmentation) AI model to deploy on the edge devices for ADAS -enthusiastic in new field, fast learner -highly self-motivated -can solve/think independent but also a good team worker -strong research ability, good insight in model building and mathematical formulation -good in providing interesting ideas -good in collaboration with different domain experts