Pranav Srinivas

AI Performance Engineer at Modular

San Francisco, California, United States
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Summary

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Pranav Srinivas is a Senior Software Engineer with 11 years of experience delivering high-performance software for semiconductor and AI workloads, based in San Francisco. He specializes in GPU-accelerated simulation and image processing, with hands-on expertise in CUDA, coalesced memory access patterns, and performance profiling using Nvprof and Nsight. At Siemens EDA, he built GPU-accelerated Gaussian convolution, FFT caches, and lithography image generation to boost simulation throughput, and later continued GPU acceleration work at Synopsys. Earlier roles include optimizing deep-learning inference with AVX2 at OnSpecta and supporting HSPICE design optimization during internships. He holds an MS from Georgia Tech and a BS from UIUC, and conducted network visualization research at Stanford. Based in the Bay Area, he blends production-grade software delivery with a strong foundation in research-driven problem solving.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS, Master of Science - MS at Georgia Institute of Technology
bookBachelor of Science - BS, Bachelor of Science - BS at University of Illinois Urbana-Champaign
languagesSpanish, Hindi, English
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Github contributions (5)

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pranav-srinivas/CellNetworkX

Jun 2014 - Sep 2015

Contributions:4 commits, 2 pushes in 1 year 2 months
pranav-srinivas/TopicMap

May 2018 - Jun 2018

Contributions:2 pushes in 21 days
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