Ratul Ghosh is a Principal Applied Scientist with 11+ years building scalable AI systems, now at Oracle after leading LLM and personalization efforts at Amazon. He designs and deploys low-latency, cost-efficient solutions for 100B+ parameter models, real-time inference pipelines, and multi-lingual recommendation engines that measurably increased purchase rates. His background spans end-to-end production ML—from parameter-efficient fine-tuning and Torch XLA optimizations to MLOps and multi-modal transformers used for risk and document automation. Previously he drove AI automation at Société Générale that cut manual processing from weeks to minutes and saved the equivalent of 100 FTEs, work that earned industry recognition. An active mentor and reviewer for Udacity and a hands-on contributor to open-source education tooling, he combines rigorous research (UCI) with pragmatic production impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Electrical Electronics and Communications Engineering, Bachelor's Degree Electrical Electronics and Communications Engineering at Indian Institute Of Information Technology Allahabad
This is the project website for the TEAMMATES feedback management tool for education
Role in this project:
Full-stack Developer
Contributions:21 commits, 8 PRs, 49 comments in 13 days
Contributions summary:Ratul primarily focused on front-end development, modifying the welcome message and appearance of the student home page. They also addressed formatting and content issues within the application's user interface, focusing on the student-facing aspects of the platform. Furthermore, the user contributed to administrative features by removing trailing spaces from the admin activity log search functionality and refactoring code. This involved modifying Java files to enhance and refine user interface elements.
Contributions:15 commits, 13 pushes, 1 branch in 4 years 9 months
meatbone
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Ratul Ghosh - Principal Applied Scientist at Oracle