Venkat Srinivasan is a research scientist and NLP-focused ML engineer with 13 years of experience building production and research systems across startups and hyperscale companies in the Bay Area. He earned an MSCS from Carnegie Mellon and a BS with honors in ECE from UT Austin, where he published and presented research on ubiquitous computing and data dissemination. His career spans firmware and architecture-level tooling at Huawei and Oracle to privileged software and ML systems work at NVIDIA and SambaNova, and he co-founded an NLP startup, Nexusflow. Venkat blends deep systems instincts from early architecture and firmware projects with modern large-model NLP engineering, enabling him to bridge research and production effectively. Based in Menlo Park, he’s comfortable shipping across the stack and has a track record of turning academic ideas into deployable systems.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Electrical and Computer Engineering, Bachelor of Science (B.S.), Electrical and Computer Engineering at The University of Texas at Austin
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Carnegie Mellon University
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