Aditya Tadimeti

About me

I’m a master’s student in Computer Science at Stanford University, where I also earned my bachelor’s. My technical interests span two distinct axes: advancing core foundation model technologies, and reinventing traditional domains with agentic systems.

Currently, I'm a Machine Learning Research Intern at Liquid AI, where I'm working on the efficient training of foundation models.

Previously:

• At Stanford, I worked with Prof. Noah Goodman on distilling reasoning traces (ICML 2025), and with Prof. Jure Leskovec on large-scale foundation model pretraining.
• At Adobe Firefly, I trained reward models for diffusion alignment.
• At Cohere, I worked on language model reasoning.
• At Amazon (Supply Chain) and Oracle (OCI), I built high-impact engineering tools.

Feel free to reach out: [firstname][lastname]@gmail.com.

Publications