- Tech Lead: to design, implement and deploy a scalable data platform and data analytics on AWS cloud from scratch.-

- Led the design and development of Enlighten app, a platform for data discovery and collection, using R Shiny.- Designed and built qualtrics survey database using Postgresql and flow cytometry database using MongoDB.- Applied machine learning for biomedical using such as dimensionality reduction, autoencoder and dynamic time warping methods.

- Led the development of an AI project and implemented Variational AutoEncoder and reinforcement learning for molecule generation, producing 100 million molecules and filtering them out with various constraints to obtain promising molecules for drug experiments.- Developed databases to manage internal and public data of 200M compounds and 120K proteins.- Implemented a chemical similarity search algorithm: Searching time within sub-second and speeding up 100X.- Built interactive dashboards to visualize the deep learning model predictions.- Deployed AI frameworks.-

- Led the design and development of yield management sofware toolDesigned and developed integrated web-based reports of yield, device and process analysis that reduce 50% workload to meet the yield target in semiconductor processes.- Led the design and implement of device to process correlation and outlier detection analysisDeveloped Python code for feature selections, correlation analysis and multivariate outlier detection methods.- Development of Advanced Process Control (APC)Developed a Cp/Cpk automated report system for 1000+ process parameters: significantly increased productivity with high qualities of daily reports. Reported top 10 worst parameters directly to SVPs and VPs.- Led the development of semiconductor modeling and simulation- Project Management-