Machine Learning practitioner

• Delivered 2 kids

• Built end-to-end candidate recommender system

• Built explainable ML framework to build trust between machine and humans

• Design and implement high-performance computing systems to simulate photolithography process, which is a critical EDA tool to beat Moore's Law.

• Develop models for the next-generation EUV photolithography for 7 nm tech node and beyond

• Design, implement, and support parallel numerical algorithms and data structures on high performance UNIX clusters

• Improve algorithm accuracy, run-time and memory consumption for better product quality.