Summary
Tharak Krishnan is a seasoned product and engineering leader with 17+ years of experience shipping over a dozen cloud, telecom and embedded products across broadcast, automotive and cloud analytics markets. He blends deep systems-level technical expertise—from FPGA and Linux bring-up to C/C++ firmware and distributed cloud services—with strategic business acumen earned from an MBA at Haas. As a director at Qualcomm and BrainChip he’s driven AI/ML solutions for automotive, industrial IoT and machine vision, and has hands-on MLOps and on-device deployment experience across GCP/AWS and multiple chipset platforms. Known for applying lean discovery and rigorous financial analysis (CFA Level II candidate) to product strategy, he translates complex technical tradeoffs into commercial outcomes. A practitioner of both embedded real-time optimization and modern ML stacks (TensorFlow/Keras, NLP/voice interfaces), he moves models from prototype to high-reliability production. Based in San Diego, he combines a rare cross-domain fluency that lets him rapidly bridge hardware, algorithms and cloud to accelerate product velocity.
11 years of coding experience
17 years of employment as a software developer
Machine Learning, Cloud Computing, Machine Learning, Cloud Computing at Coursera
Self-driving car nanodegree, Self-driving car nanodegree at Udacity
MBA, Finance, Marketing and Strategy, MBA, Finance, Marketing and Strategy at University of California, Berkeley, Haas School of Business
B.E, Electronics and Communications, B.E, Electronics and Communications at University of Madras
M.S, Electrical Engineering, M.S, Electrical Engineering at The University of Texas at Arlington