About me

I’m Adib Hasan, a research engineer at a stealth startup, where I build large-scale retrieval-augmented generation (RAG) systems for AI agents and optimize LLM inference for speed and scalability.

Previously, I earned my MEng in Electrical Engineering and Computer Science from MIT, advised by Dr. Mardavij Roozbehani and Prof. Munther Dahleh. My thesis focused on learning latent weather representations from small datasets using transformer-based architectures—akin to pretraining an LLM, but using weather data.

Prior to that, I completed a double major in Mathematics and Computer Science at MIT and spent two years as a quant researcher managing multi-million dollar crypto portfolios.

You can find more on my LinkedIn.

Outside of work, I cook to avoid starvation (proof), read dead philosophers, and lift heavy objects to maintain the illusion of control.