Gagan Kaushik
High Performance Computing Software Engineer - Cheminformatics AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGagan Kaushik is a High Performance Computing software engineer with 10 years of experience, currently building ML and backend systems for Cheminformatics and AI at NVIDIA’s Clara Discovery. He combines production-grade GPU-accelerated machine learning with practical backend engineering, having previously contributed to genomics acceleration and embedded hardware-software products as a co-founder. Gagan’s background spans signal processing, FPGA tooling, and automation—skills he applies to optimize performance-sensitive scientific workflows. Based in San Francisco, he brings an entrepreneur’s end-to-end perspective from hardware design to cloud services and a knack for turning experimental research code into scalable, deployable systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Electrical and Computer Engineering, Bachelor of Science, Electrical and Computer Engineering at The University of Texas at AustinHigh School Diploma, High School Diploma at Monta Vista High School
English
Github Skills (56)
drug-discovery10
nano10
stepper10
delay10
statistical-genetics10
genetics9
pytorch9
machine-learning9
arduino-library9
gwas9
gpu9
atmega9
high-speed9
esp328
wifi8
Programming languages (4)
Github contributions (5)
gagank1/Self-Attention-GAN
Dec 2021 - Sep 2022
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Contributions:33 pushes, 2 branches in 9 months
pytorchdeep-learningadversarialattention-mechanismsagan
gagank1/LoginTester-Xcode
Aug 2015 - Jul 2016
Contributions:4 pushes, 3 branches in 11 months
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