Neelima Chavali is a Sr. Principal Engineer based in Greater Boston with 11 years of experience specializing in computer vision and machine learning for medical and surgical applications. She has led CV/ML teams and shipped real-time analytics for gastroenterology and intraoperative insights across startups and enterprise settings, including Iterative Scopes, Method AI, and Amgen. Her background spans deep learning, robotics, and GPU-driven distributed compute platforms, enabling production-grade pipelines from research prototypes to clinical-grade systems. Neelima pairs an engineering physics and operations research foundation from IIT Madras with a master’s in electrical engineering from Virginia Tech, giving her a strong analytical edge in solving vision problems under real-world constraints. She is known for bridging hands-on model development with system-level deployment, often tackling latency and reliability challenges unique to live surgical and inspection environments.
11 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree Electrical Engineering, Master's degree Electrical Engineering at Virginia Tech
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Neelima Chavali - Sr Principal Engineer at Convatec