Pinkesh Badjatiya
Senior Software Engineer (AI ML) at Google
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolPinkesh Badjatiya is a Senior Software Engineer specializing in AI/ML with a decade of experience building large-scale NLP and recommendation systems for products like Bing and Copilot. He has driven low-latency production deployments—from signal mining at web scale to model fine-tuning, distillation, quantization and pruning—delivering measurable engagement and coverage gains. Prior to Microsoft and Google, he conducted applied ML research at Adobe’s MDSR lab, producing multiple patents and papers in computer vision and reinforcement learning. Comfortable spanning research and engineering, he also contributes to open-source projects such as ListenBrainz where he improved backend data pipelines and scrapers. Based in Hyderabad, he combines rigorous academic training from IIIT Hyderabad with a knack for turning ambitious prototypes into highly optimized, web-ready systems.
10 years of coding experience
9 years of employment as a software developer
Higher Secondary School, Higher Secondary School at Aklank Public SchoolMaster of Science by Research (MS by Research) Computer Science, Master of Science by Research (MS by Research) Computer Science at International Institute of Information Technology Hyderabad (IIITH)
English, Hindi
Stackoverflow
366reputation
360kreached
6answers
9questions
Github Skills (17)
python10
postgresql9
apidoc9
api9
database8
databases8
javascript8
json8
webpages7
react7
vector6
html6
stl6
css6
browser6
Programming languages (7)
Github contributions (5)
metabrainz/listenbrainz-server
Mar 2016 - Aug 2016
Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:154 commits, 19 PRs, 161 comments in 5 months
Contributions summary:Pinkesh contributed to the ListenBrainz server by fixing bugs and implementing new features related to data export and Last.fm scraping. Their work included modifying Python code for listen storage and database querying, enhancing a JavaScript scraper for user data, and updating templates for user profile and export functionality. These changes involved modifying the back-end logic for data handling and user profile display.
reactpythondata-processingjavascriptbig-data
pinkeshbadjatiya/Nex
Apr 2016 - Jun 2016
Contributions:49 commits, 5 pushes in 2 months
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