Ashutosh Hathidara is a Senior Machine Learning Scientist with nine years of experience building scalable ML systems across companies like SAP, TikTok, Delhivery, and Anthem (Elevance Health). He specializes in LLM fine-tuning, multi-agent systems, recommendation models and production ML pipelines, and has driven measurable business impact such as multi-percent improvements in ads and shop revenue at TikTok. Ashutosh contributes to TensorFlow OSS—improving callbacks, optimizers, and docs—and builds developer-facing tools and UI components, reflecting a blend of research, engineering, and product sensibilities. At SAP he’s architecting agentic frameworks to synthesize multi-turn conversational data and automate cross-company operations, a less-obvious thread that ties his work in generative AI to real-world process automation. He pairs academic training from Indiana University Bloomington with hands-on startup and mobile-app experience, giving him a rare full-stack view from device UI to large-scale distributed training. Colleagues describe him as a pragmatic innovator who converts cutting-edge research into production-grade, revenue-driving systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Computer Science & Engineering, Bachelor of Technology Computer Science & Engineering at Indian Institute of Information Technology Design & Manufacturing, Kurnool
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Indiana University Bloomington
Intermediate Mathematics, Intermediate Mathematics at Aklank Public School
Secondry and Primary Education, Secondry and Primary Education at Vividhlaxi Vidyamandir
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Role in this project:
Front-end Developer
Contributions:43 reviews, 231 commits, 127 PRs in 2 years 10 months
Contributions summary:Ashutosh's commits primarily revolve around the development of UI components for a software developer portfolio website. They added and modified the CSS and JavaScript files associated with a "DegreeCard" component, focusing on styling and layout. Moreover, they integrated the use of React components and animations, including Fade and Flip, to enhance the visual appeal and user interaction of the portfolio.
Contributions:49 commits, 17 PRs, 11 comments in 2 months
Contributions summary:Ashutosh primarily contributed to the data visualization course material by adding functionality to existing notebooks. This involved adding buttons to the notebooks, allowing users to directly navigate to Google Colab for execution and view the notebooks on GitHub. Additionally, the user made minor code changes to resolve placeholder errors, ensuring the notebooks were properly formatted. The commits also include adding necessary import statements to fix runtime errors.
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Ashutosh Hathidara - Senior Machine Learning Scientist at SAP