Naman B.

Naman B. has a diverse work experience spanning a variety of roles and companies. Naman most recently worked at Settle as a Financial Systems professional. Prior to that, they worked at Kite.com from 2017 to 2021, specializing in program analysis and pipelines for machine learning systems. Naman also worked at Affirm, Inc. from 2015 to 2017, focusing on Risk & Data Systems.

In 2014, Naman worked at Google on a proof-of-concept distributed continuous integration framework. Naman also has experience as a Teaching Assistant at Carnegie Mellon University, where they contributed to courses on Graph Theory and Parallel Algorithms. Naman also had roles at The Echo Nest, Facebook, and CloudSwitch, where they worked on projects related to music experimentation, optimizing HBase access patterns, and QA & Automation, respectively.

Naman B. attended Carnegie Mellon University from 2011 to 2015, where they obtained a Bachelor of Science (B.S.) degree in Discrete Mathematics and Computer Science.