Tharun Anandh
Dev at Oracle · GSoC'24 contributor · C++/Python
Chennai, India
Joined January 2026
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Summary
Open-source contributor focused on tooling for interactive C++ workflows and LLM integration — implemented an LLM integration (XAssist) for the xeus-cpp Jupyter kernel, producing multiple PRs, tests, documentation, and a GSoC final report. compiler-research+2
Early-career software developer at Oracle with a focus on AI/ML and application development, transitioning from application development roles into AI/ML consultancy. weekday
Active student-leader and technical-organizer during undergraduate studies at NIT Trichy, holding positions in the Technical Council and Aaveg festival organisation. devfolio+1
Practitioner of diverse personal projects spanning data analysis, automation, and event tooling — demonstrates breadth with ML/data-analysis projects (FCBarcelona analysis), automation bots, and event-focused software. github+2
Work
Education
Projects
Writing
Integrate a Large Language Model with the xeus-cpp Jupyter kernel - Final Report
October 1, 2024Final project report summarizing implementation details (XAssist), testing, debugging, cross-platform fixes, contributions (multiple PRs), and future roadmap.
Integrate a Large Language Model with the xeus-cpp Jupyter kernel
May 1, 2024GSoC project introduction post describing the goal, design, and implementation plan to integrate LLMs with the xeus-cpp kernel.
GSoC Project Proposal — Xeus-Cpp LLM integration
January 1, 2024Project proposal submitted for Google Summer of Code 2024 outlining objectives, design, and deliverables for integrating large language models into xeus-cpp.
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