Madhav Narayan Bhat is an Embedded Software Engineer and Security Platform Specialist with expertise spanning hardware-backed security, embedded systems, platform enablement, high-performance networking, and consumer media platforms. He has built and deployed security, networking, and software solutions across the enterprise, telecommunications, semiconductor, and consumer technology industries.
Madhav currently serves as a Senior Security Customer Engineer at Qualcomm, where he leads customer enablement and validation of next-generation platform security technologies, including TPM, Microsoft Pluton, ARM TrustZone, Secure Boot, device fusing, Trusted Applications, and secure debugging mechanisms. He supports major OEM customers through platform bring-up, factory validation, security issue resolution, and deployment of secure production workflows. He has also driven process innovations that accelerated software validation and customer hardware bring-up programs.
Before Qualcomm, Madhav worked at EdgeQ, first as a Senior Engineer and later as a Staff Engineer. There, he designed and implemented a hardware-anchored licensing system that secured feature access across the company's product portfolio using mutual TLS, device fingerprinting, hardware-fuse-based identification, encryption, and offline license validation. He also pioneered a User Plane Function (UPF) over VPP implementation for 5G small-cell base stations running on ARM-based edge hardware, achieving significant throughput improvements through low-level optimization of packet processing pipelines. In addition, he supported customer platform bring-up and system integration efforts across networking and hardware domains.
Earlier in his career, Madhav worked at Dish Technologies, where he contributed to the development of embedded and server-side streaming solutions for the company's Hopper set-top box platforms. He played a key role in building large-scale streaming features, including Dish Anywhere, enabling customers to stream live and recorded content across devices. He independently initiated the first WebRTC implementation on Hopper 2 and Hopper 3 platforms and later led a team responsible for productionizing the solution. His work also enabled integration between Hopper 3 and the Google Nest Hello Doorbell, a project that received the 2020 CE Pro Best Award.
Madhav earned a Master of Science in Computer Engineering from Columbia University with a GPA of 3.91. He also holds both a Bachelor of Engineering in Electronics and Instrumentation and a Master of Science in Physics from BITS Pilani, Hyderabad Campus.
His research interests include hardware acceleration, machine learning, quantum control systems, and high-performance computing. He co-authored the publication Hardware-Accelerated Neural Network for Quantum Control in Quantum Machine Intelligence and contributed to research on trajectory similarity search published at APOCS 2023.
An IEEE Senior Member, Madhav combines expertise in embedded software, firmware development, systems security, networking, and platform engineering, with experience delivering production-ready solutions for global technology organizations and their customers.