Summary
Joshua Leibowitz is a Manager of Platform Engineering in Austin with 12 years of experience applying data science and engineering to semiconductor yield and process problems. He progressed from hands-on CVD process engineering and cleanroom research to building ML-driven wafer-failure models, ETL pipelines, and production dashboards that cut investigation time from hours to minutes. He blends materials science rigor (MS in Materials Engineering) with practical software skills—Python, Flask, SQL, and automated model deployment—while leading internal training to upskill colleagues. Known for standardizing cross-product failure modes and shipping tools that surface root causes, he pairs deep domain expertise in semiconductor fabrication with a track record of turning complex lab work into scalable, reproducible data platforms.
12 years of coding experience
13 years of employment as a software developer
Master's degree, Materials Engineering, Master's degree, Materials Engineering at The University of Texas at Austin
National University of Singapore / NUS
B.S.E., Materials Science and Engineering, B.S.E., Materials Science and Engineering at The University of Connecticut