Koundinya Nidumolu is an applied machine learning engineer and angel investor based in California with 11 years of experience building end-to-end ML systems, currently driving production ML at Apple and advising startups through Hustle Fund. He specializes in computer vision and deep learning across the full lifecycle—from HIL and semi-supervised data collection and annotation to model training, large-scale distributed training infrastructure, deployment, and online/offline metric evaluation. His work spans object detection, segmentation, tracking, re-identification and face/torso recognition, and he has practical experience implementing solutions on embedded and cloud platforms. A UIC-trained ECE graduate with over seven years of focused research in CV/ML, he pairs academic rigor with hands-on engineering—often bridging embedded vision prototypes to scalable cloud deployments. Notably, he combines product-minded system building at Apple with early-stage investing, offering both technical depth and startup-facing strategic insight.
11 years of coding experience
2 years of employment as a software developer
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at University of Illinois Chicago
Bachelor's of Technology Electrical Electronics and Communications Engineering, Bachelor's of Technology Electrical Electronics and Communications Engineering at VIT University
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