From the chip labs of
NYU to the AI frontier
in Bengaluru
Vinayaka Jyothi's journey starts where most people never look — inside the chip. At NYU Tandon School of Engineering, he earned his Ph.D. studying how to make hardware trustworthy: detecting trojans hidden in integrated circuits, fingerprinting FPGAs to prove authenticity, and building network security systems that operate at wire speed. He also served as Adjunct Professor at NYU, teaching Advanced Hardware Design and Reconfigurable Computing.
Over a dozen research papers. Eleven patents spanning hardware trust and AI systems. 502 citations. An h-index of 12. Research stints at USC's Information Sciences Institute and The Hong Kong Polytechnic University. The academic track was prolific and impactful.
But Vinayaka saw a wider canvas. He co-founded Pathtronic Inc. to design next-generation AI chips that outperformed Nvidia's Volta V100 by 11x in power efficiency. He architected fleet-tracking systems at Fleetco.in, built AI-powered medical imaging tools used at 270+ hospitals through Ai-Bharata, co-founded blockchain trading platform Ampiy, and consulted on restaurant-tech at Sylo. Now based in Bengaluru, India, he leads AI and ML science at Snow Mountain AI — building enterprise multi-agent systems, financial RAG, and reinforcement learning frameworks. The thread connecting it all: a deep understanding that intelligence, whether artificial or embedded, must be built on trusted foundations.
Securing hardware at the gate level taught me that trust isn't a feature you add later — it's the foundation you build everything on.