Summary
Josh Melnick is an owner-partner and seasoned process and materials engineer with nine years of experience specializing in semiconductor and MEMS fabrication, thin films, and UWB wide-bandgap materials research. He has led MBE and sputtering process development for GaN, Ga2O3 and AlN, applied DOE and Six Sigma methods in production, and integrated machine learning (Bayesian optimization, Gaussian processes) to accelerate materials optimization for AFRL projects. Comfortable from hands-on tool ownership (e-beam, sputter, RTA, lithography) to characterization (SIMS, Hall, AFM, XRD), he also brings practical product transfer skills from RIT graduate research into manufacturing environments. Fluent in Chinese and experienced managing international projects, he has automated engineering workflows with VBA and bridged technical and operational teams. Currently studying Python for data science and ML (Pandas, NumPy, TensorFlow/Keras) and SQL/Git, he is combining domain expertise in semiconductor processes with emerging data-driven optimization skills. Based in Salem, Ohio, he runs a real estate rental business alongside his technical career, showing entrepreneurial versatility beyond the lab.
9 years of coding experience
9 years of employment as a software developer
M.S., Microelectronics Engineering, 3.5, M.S., Microelectronics Engineering, 3.5 at Rochester Institute of Technology
Qing Dao University
B.S., Chinese, Electrical Engineering; Microelectronics and Electric Power, B.S., Chinese, Electrical Engineering; Microelectronics and Electric Power at The Ohio State University
English, Chinese