Satyadev Ntv is an engineer with 9 years of experience building scalable ML and IoT systems, currently based in Mountain View and working at Matterfact. He has progressed from leading end-to-end IoT solutions and vehicle-tracking POCs to senior roles focused on machine learning research, domain adaptation, optimization, and LLM-driven content retrieval for K–12. At Vayve he designed a television viewership IoT platform scaled to support up to a million nodes, and more recently led ML efforts at Teachmint and Kombai to productionize retrieval models. Comfortable bridging research and product, he moves models into robust, deployable systems and has hands-on experience across the stack—from embedded devices to large language models. Satyadev’s background in electrical and electronics engineering from IIT Guwahati informs a pragmatic systems perspective that blends hardware-aware thinking with modern deep learning. He maintains a personal site for further detail and appears to favor solving real-world scale and domain-adaptation challenges.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Indian Institute of Technology, Guwahati
Contributions:3 commits, 14 pushes, 3 branches in 6 months
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