Steve Sebastian is a Machine Learning Engineering Manager in Austin with 11 years of experience applying perceptual science and computer vision to production ML systems. He holds a PhD in Perceptual Systems and moved from academic research—where he built custom psychophysics apparatuses and statistical models of natural images—to industry roles deploying vision models at scale for Apple. At Insight Data Science he combined NLP, collaborative filtering, and multi-armed bandits to power a highly preferred recommendation engine, demonstrating a knack for blending research rigor with pragmatic product impact. He has deep hands-on experience across the ML lifecycle, from data analysis and model development to deployment on cloud and edge platforms. Known for bridging human perception insights with engineered solutions, he mentors teams to turn complex scientific ideas into robust, user-facing features. Based in the U.S., he brings both academic depth and proven production leadership to challenging vision and recommendation problems.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Perceptual Systems, Doctor of Philosophy (PhD) Perceptual Systems at The University of Texas at Austin
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Purdue University
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