Surya Chavali is a software engineer with a decade of experience designing and productionizing machine learning pipelines, specializing in computer vision for clinical and automotive applications. He contributed to PathAI’s first AI solution deployed in a clinical trial—developing high-accuracy models for breast cancer pathology—and later built deep-learning lane marker detection and ML infrastructure at Magna and Analog Devices. Comfortable in Python and C++, he bridges research and production, applying self-supervised and active learning techniques as well as C++ post-processing for real-time systems. His background includes formal verification research at UW–Madison and internships at Microsoft Research, reflecting a strong foundation in reliability and systems thinking. Now based in Menlo Park and currently at Meta, he combines rigorous academic training with hands-on engineering that moves models from prototype to safety-critical deployment. An understated strength is his focus on KPIs and measurement, ensuring ML models improve not just in accuracy but across operational stages.
9 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Hyderabad
Masters Computer Science, Masters Computer Science at University of Wisconsin-Madison
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