Profile banner
Henil Shah

Henil Shah

Production Engineer at Meta focusing on ML Productionization

San Francisco Bay Area
Favicon imagelinkedin.com
Favicon imagescholar.google.com

Summary

Henil Shah is a Production Engineer at Meta with expertise in recommendation systems, ML productionization, distributed systems, and high-performance computing (HPC). This role aligns with a strong background in computer science and parallel computing. google
Henil has a notable academic publication in the field of computational physics, specifically on the accelerated simulation of microwave breakdown in gases using Xeon Phi clusters. This work received a 'Best Poster Award' at the IEEE International Conference on HPC, Data and Analytics, indicating a strong foundation in complex numerical modeling and high-performance computing. sciencedirect+2
Henil's educational background includes a Master of Science in Computer Science from North Carolina State University and a BTech (Hons) in Information and Communication Technology from Dhirubhai Ambani Institute of Information and Communication Technology, with a minor in Computational Science. This rigorous academic path provides a solid theoretical and practical grounding for her work in ML and distributed systems. ncsu

Work

Education

Writing

Accelerated simulation of microwave breakdown in gases on Xeon Phi based cluster-application to self-organized plasma pattern formation

January 1, 2018

This research paper explores efficient parallelization and optimization strategies for two-dimensional fluid simulation of microwave breakdown phenomena in air/gas on Intel’s Xeon Phi Many Integrated Core (MIC) data parallel architecture. It details the numerical model based on Finite Difference Time Domain solutions of Maxwell Equation coupled with the plasma fluid Continuity Equation.

Favicon imagesciencedirect.com