About Me: I'm a research scientist at OpenAI, teaching future AI to understand and explore science. 

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Before joining OpenAI, I completed my PhD at the University of Edinburgh, where I focused on language models for better compiler optimizations and more robust runtime program analysis. During my PhD, I had the fortune of working with three exceptional advisors: Ajitha Rajan, Hugh Leather and Pavlos Petoumenos. See my thesis here.

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Aside from my PhD, I have worked on several intriguing projects in the fields of machine learning and compiler engineering, often integrating both disciplines.

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In 2023, I was a part-time research scientist at TikTok, where I worked on fault localization of concurrency execution bugs in GO routines using LLMs. In 2022, I was a research intern at FAIR - Meta AI. My research there involved using PPO/TRPO RL-based LLMs for OpenCL/CUDA kernel synthesis. In 2019, I worked as a software engineering intern at ARM, where I contributed to the development of Armv8 GICv4's distributed multichip operation for ARM-based distributed servers. In 2021, I was hired as an ML research lead by a Greek startup to design and implement a real-time recommendation system for art exhibitions!