Gaurav Sarkar
Research Fellow at AMD
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolGaurav Sarkar is a research-focused machine learning engineer with 8 years of experience specializing in speeding up diffusion LLMs and productionizing ML on accelerator hardware. Currently a Research Fellow at AMD, he previously drove ML optimization and accelerator integrations at Intel—publishing papers on training-free optimization for fast diffusion LLMs and a novel activation (SG-Blend)—and built frameworks that boosted HuggingFace model performance by up to 80%. He combines deep research chops from IIIT-H and industry delivery across Gaudi, Habana, and enterprise NLP pipelines, plus hands-on experience in speech-to-speech translation and no-code training platforms. Based in Hyderabad, he’s been “turning coffee into code since 2016,” and uniquely bridges research publications with practical tool-building that accelerates real-world model deployment.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS by Research, Computer Science, Master of Science - MS by Research, Computer Science at International Institute of Information Technology Hyderabad (IIITH)Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Dayananda Sagar College of Engineering, BANGALOREHigh School, Science Stream, High School, Science Stream at Delhi Public School (DPS)
English, Hindi, Bengali
Github Skills (15)
android-project7
data-structures6
java6
get-started5
cpp5
version-control4
android-application4
android-app4
workmanager3
player3
kotlin3
music3
android2
git2
open-source1
Programming languages (7)
Github contributions (5)
gauravsarkar97/Simple-registration-and-Login-with-Blockchain
Jun 2019 - Jul 2021
Contributions:5 commits, 2 PRs, 3 pushes in 2 years
gauravsarkar97/Address_Plate_Recognition_and_Delivery_System_using_Drone
Jun 2020 - Mar 2021
Contributions:12 commits, 2 PRs, 9 pushes in 9 months
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