Soumil Hooda

Silicon Engineer at Google

soumilhooda @ google.com

I graduated in 2025 from BITS Pilani, with a dual degree: a Bachelor of Engineering in Electrical and Electronics, and a Master of Science in Physics.

During undergrad, I worked on atmospheric water vapor retrieval from satellite occultation data at the Space Applications Centre (ISRO), finger flexion estimation from neural recordings at CSIR-CEERI, and peri-urban area estimation and arrhythmia classification at BITS Pilani. The work was guided by Prof. Manik Gupta, Prof. Rajesh Tripathy, and Dr. Satya Prakash Ojha.

As part of my undergrad I interned at Texas Instruments and Google. At Texas Instruments, I worked on developing an assertion-based formal verification IP for a real-time microcontroller platform, with a focus on reusable, property-driven verification infrastructure. Alongside this, I spent some time exploring whether graph-based representations of finite-state machines could be fed into GNNs to reason about protocol behavior, more out of curiosity than conviction. At Google, I worked on infrastructure for generating and integrating subsystem-level RTL based on architectural configuration. The work touched the full spectrum of auxiliary logic bring-up, covering power intent, clock/reset domain crossing, linting, and register collateral, and gave me a systems-level view of how large SoC blocks are stitched together.

I now work full-time at Google as a Silicon Engineer, as part of a first-party cache-coherent interconnect design team. At its core, this is the hardware that keeps a chip's processors, memory controllers, and accelerators in agreement about what is in memory. My work spans microarchitecture, RTL implementation, and power estimation alongside maintaining general design plumbing flows.

News
Reads
H1 2026
  • The Power Law โ€” Sebastian Mallaby
  • The Thinking Machine โ€” Stephen Witt
  • The Infinity Machine โ€” Sebastian Mallaby
H2 2025
  • If Then โ€” Jill Lepore
  • How Countries Go Broke? โ€” Ray Dalio
  • The Hard Thing About Hard Things โ€” Ben Horowitz
H1 2025
  • Chip War โ€” Chris Miller
  • Apple in China โ€” Patrick McGee
  • More Money Than God โ€” Sebastian Mallaby
Research
SERN-AwGOP figure
SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection

Soumil Hooda*, Rajesh Kumar Tripathy

IEEE Access ยท 2025

SERN-AwGOP detects atrial fibrillation from ECG with high accuracy, robustness to noise, and strong cross-dataset generalization.

Peri-urban demarcation figure
Supervised Model for Peri-Urban Area Demarcation in Hyderabad, India

Ravi Bhushan, Soumil Hooda*, Hiten Vidhani, Manik Gupta, Lavyana Suresh, Timothy Clune

IEEE Geoscience and Remote Sensing Letters ยท 2024

RBF-SVM model maps peri-urban expansion near Hyderabad, revealing 108% growth.

Water vapor retrieval figure
Retrieval of Atmospheric Water Vapor Profiles From COSMIC-2 Radio Occultation Constellation Using Machine Learning

Soumil Hooda*, Manik Gupta, Randhir Singh, Satya P. Ojha

IEEE Transactions on Geoscience and Remote Sensing ยท 2023

ANN model retrieves atmospheric water vapor from COSMIC-2 data, outperforming existing methods.