Alan Davila

Senior Software Engineer at KLA-Tencor

Austin, Texas, United States
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Summary

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Senior
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Top School
Alan Davila is a senior software engineer with a decade of experience turning scientific training into practical machine learning and data visualization solutions with high social impact. Based in Austin, he applies ML to big data, predictive analytics, and yield optimization, leveraging Python, TensorFlow, and modern visualization toolchains. At KLA-Tencor, he built ML-powered yield prediction from inspection and metrology data, automated wafer signature detection with Mask R-CNN, and created synthetic wafer data pipelines to train DNNs with minimal customer data, achieving substantial speedups and sub-second dashboards with Datashader. He also led QA efforts, cutting regression time from 400 to 16 hours and advancing CI and automated testing across teams. His early work in physics—ranging from high-energy experiments with MPI and ROOT to teaching and collaboration—gives him a unique ability to combine rigorous analysis with scalable software engineering. He holds a BS in Physics (Summa Cum Laude) and a PhD in High Energy Physics, reflecting a deep theoretical foundation and practical experimentation.
code11 years of coding experience
job11 years of employment as a software developer
bookBS (Summa Cum Laude), Physics, BS (Summa Cum Laude), Physics at The University of Texas at El Paso
bookPhD, High Energy Physics (Heavy Ion Collisions), PhD, High Energy Physics (Heavy Ion Collisions) at The University of Texas at Austin
languagesSpanish, English
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Github contributions (5)

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alandavila/nn-model-analysis

May 2018 - Oct 2022

Contributions:28 commits, 24 pushes, 1 branch in 4 years 6 months
alandavila/nuclear-physics

Jan 2018 - Oct 2022

Contributions:17 pushes, 1 branch in 4 years 9 months
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