Avnish Kumar is a research-oriented machine learning engineer with 13 years of experience applying ML to robotics, medical imaging, and neuroscience, currently a Research Associate at MIT. He combines a strong academic foundation from IIT Bombay and the University of Connecticut with hands-on work at Harvard, Dana-Farber, and a Google internship where he integrated optic-flow sensing into aerial vehicles. Proficient in Python, R, and scientific computing libraries, he focuses on computer vision and MLOps to move models from research toward robust, reproducible workflows. Based in Boston, he pairs domain breadth—from aerospace to bioimaging—with a knack for translating complex sensing problems into practical algorithms.
13 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Bombay
Master’s Degree, Electrical and Electronics Engineering, 3.61, Master’s Degree, Electrical and Electronics Engineering, 3.61 at University of Connecticut
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