Sheshansh Agrawal is a machine learning researcher and engineer with 9 years of experience building fast, accurate information retrieval and agentic search systems across both research and production settings. He has led retrieval research teams and shipped production-scale embedding training infrastructure and reranking models at Microsoft and Contextual AI, including CORGEE which trained models on trillions of tokens and served hundreds of millions of users. His work spans state-of-the-art rerankers (open-sourced v2 family and BlitzRank) and novel agentic designs like Agent Composer and an agentic alternative to GraphRAG, plus a Text-to-SQL system that topped BIRD-Bench. He also contributes to mature open-source projects such as ownCloud core, adding backend job execution and notification improvements, showing comfort with both research and hands-on engineering. Now at Google DeepMind and concurrently Director of Research at Contextual AI, he blends academic rigor (CS PhD student) with pragmatic system-building to move LLM innovations into production. Colleagues describe him as someone who prefers careful tool design over brittle heuristics, enabling scalable, interpretable retrieval in real-world systems.
:cloud: ownCloud web server core (Files, DAV, etc.)
Role in this project:
Back-end Developer
Contributions:69 commits, 27 PRs, 100 pushes in 7 months
Contributions summary:Sheshansh primarily focused on enhancing the `owncloud/core` repository by adding functionality related to job execution and notification systems. Their contributions involved modifying the database schema to include an execution duration column, implementing new methods to store execution times, and fixing a related column issue. Furthermore, the user integrated error notifications in various files to improve user experience.
This is just results of a compiler, go to https://github.com/noveens/website-hugo/ to modify website contents
Contributions:98 pushes, 1 branch in 7 years 4 months
hugomodifycompilerhugo-websitecontents
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Sheshansh Agrawal - Director Of Research at Contextual AI