Vaidehi Venkatesan is a Director of ML Engineering with 12 years of experience building production-grade ML platforms and deployment pipelines for enterprise and autonomy domains. She has led cross-functional teams to deliver unified inference serving, quantization-aware training, NAS optimizations and end-to-end model deployment at scale—driving multi-release product cadence and converting PoVs into multimillion-dollar deals. At SambaNova she shipped a converged GenAI workflow platform and unified inference pipeline; at Cruise she scaled model deployment reliability and cut latency by up to 30% through model optimization for accelerators. Known for rapidly aligning engineering stacks and shipping complex features (RBAC, BYOC, custom entitlements) in short timelines, she combines deep systems and ML expertise with strong mentorship of growing teams. Based in Lexington, MA, she pairs rigorous academic grounding (MS CS, 3.987 GPA) with a maker’s focus on turning research-quality models into robust, deployable systems.
12 years of coding experience
16 years of employment as a software developer
MS, Computer Science, 3.987, MS, Computer Science, 3.987 at University of Cincinnati
MSc (Tech), Information Systems, MSc (Tech), Information Systems at Birla Institute of Technology and Science
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Vaidehi Venkatesan - Director, ML Engineering at SambaNova Systems