Akhil Nadigatla

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Heya! I'm Akhil, a machine learning engineer at Meta, where I currently work on recommendation systems on Threads. I previously worked on similar problems for Instagram Reels, and before that on content and user integrity across all major Meta apps. Before Meta, I interned at Splunk.

I graduated from Carnegie Mellon's School of Computer Science in 2022 with University and SCS College Honors, earning a B.S. in Computer Science concentrating in Machine Learning, and minoring in Philosophy. My senior thesis studied neural zeroth-order optimization, advised by Prof. Pradeep Ravikumar; before that, I researched adversarial robustness via model ensembles with his group.

Broadly, I'm interested in machine learning robustness, integrity systems, black-box optimization, and recommendation systems.

I grew up in Kenya before moving to the US for college. Outside of work, I enjoy swimming, running, playing the guitar, and making full use of my Spotify subscription!