About

Dr. Vinayaka
Jyothi

Hardware security researcher, AI entrepreneur, and engineer — bridging silicon and intelligence from Bangalore, India.

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.
502Citations
11Patents
12h-index
6Ventures

Academic Foundation

Ph.D.Electrical EngineeringNYU Tandon School of Engineering2017
M.S.Electrical EngineeringPolytechnic Institute of NYU2011
B.E.Electronics & CommunicationVisvesvaraya Technological University2009

Areas of Mastery

Ph.D. Research & Industry

Hardware Security

Hardware trojan detection in integrated circuits, FPGA fingerprinting and trust zone design, ring oscillator-based design-for-trust, network intrusion detection at wire speed. Foundational research cited 500+ times by researchers worldwide.

FPGAVLSIVerilogVHDLSide-Channel Analysis
Production AI Systems

Agentic AI & LLMs

Enterprise multi-agent orchestration platforms, financial RAG achieving 97.3% accuracy, RLHF methodologies reducing hallucination by 58%. Deep expertise in LLM evaluation, agent safety, and production deployment at scale.

Multi-Agent SystemsRAGRLHFLLMsPython
Healthcare & Computer Vision

Medical AI

AI-powered medical imaging with 98% diagnostic accuracy, reducing diagnostic time by 80%. Built tools deployed at 270+ healthcare institutions across India. Open-source MedicalAI framework with 45,000+ PyPI downloads.

TensorFlowPyTorchComputer VisionFastAPI
Chip Design

AI Hardware

Designed AI chips achieving 11.4 TOPS/Watt and 2,519 frames/sec on ResNet50 — 11x better power efficiency than Nvidia Volta V100. Deep expertise in hardware-software co-design for AI acceleration.

AI Chip DesignXilinx FPGAML CompilersInference Optimization