Summary
Preetham Sunkari is a Product Design Engineer and PhD chemical engineer with 8 years of experience applying machine learning and data science to materials and energy problems, most notably leading ML-driven lifetime forecasting for perovskite solar cells on two $1.5M DOE projects. He builds end-to-end experimental systems—combining hands-on thin-film fabrication, Arduino/Python-controlled in situ data collection, and automated feature pipelines—to turn small, noisy lab datasets into predictive models. Comfortable in Python and physics-informed ML, he has also improved industrial sensor data pipelines at ASML and translated research into educational products for broader impact. His background spans solid-state physics, solar technologies, and lab automation, allowing him to bridge experimental design and deployed analytics. A practiced communicator and instructor, he regularly mentors students and presents complex technical stories to diverse audiences. Based in Seattle, he blends academic rigor with product-minded engineering to deliver reproducible, instrument-linked ML solutions.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at University of Washington
Indian Institute of Technology Kanpur
English, Hindi, Telugu