Aleksandr Plokhikh is a process engineer specializing in ALD/CVD thin-film development with over a decade of hands-on experience and eight years in industry and research roles. At Lam Research he blends process ownership with machine learning and simulation projects, bringing practical ML-driven optimization to semiconductor deposition. His PhD work at Drexel focused on high-k dielectrics and phase transformations in complex oxides, giving him deep materials science expertise coupled with in-situ TEM and MOCVD experience from national labs and leading universities. Aleksandr holds advanced degrees in materials science and an MS in AI from Georgia Tech, uniquely positioning him at the intersection of materials engineering and data-driven process control. Colleagues value his ability to translate academic research into production-ready process improvements and predictive models. He is based in the San Francisco Bay Area and known for combining experimental rigor with applied ML to accelerate thin-film innovation.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Material Science, Doctor of Philosophy (PhD), Material Science at Drexel University
Master of Science - MS, Artificial Intelligence, 4.0/4.0, Master of Science - MS, Artificial Intelligence, 4.0/4.0 at Georgia Institute of Technology
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Aleksandr Plokhikh - Process Engineer at Lam Research