Summary
Sarang Zambare is a founder and deep learning engineer with 12 years of experience building and shipping production-scale ML systems, from edge computer vision on smart devices to factory-grade inspection and consumer products with 10,000+ daily users. He holds a double masters and a bachelors in physics with specialized work in machine learning for quantum systems, and has applied reinforcement learning and generative models across finance, quantum control, and industrial vision. Sarang has authored over 100,000 lines of TensorFlow and PyTorch code across CNNs, LSTMs, Transformers, VAEs, GANs and Diffusion models, taking projects from ideation to deployed products. He combines academic rigor—demonstrated by high-purity quantum state preparation and mathematical modeling—with entrepreneurial grit from multiple startups and acquisitions. Based in New York, he is fascinated by emergent behavior in trillion-parameter models and frames engineering decisions through an economist’s lens, seeking to quantify abstract phenomena like emotion and behavior.
12 years of coding experience
10 years of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at University of California, Berkeley
Y Combinator
Indian Institute of Technology Bombay
English, Hindi, Marathi