Summary
Mudit Saxena is a Software Engineer with nine years of experience building production systems and research prototypes, currently at Google in Seattle after contributing to payments infrastructure at Imprint. He holds an MS in Computer Science from NYU Courant and has a strong background in ML and NLP from research roles at IBM Research and internships at Meta, where he developed watermark-detection pipelines for video. Mudit's work spans consumer-facing engineering and applied research—examples include building scalable data pipelines for payments, systems for bias and trust analysis in news, and an open-source Android learning app for underserved children. He brings a track record of shipping end-to-end solutions that blend theory and practice, and he often tackles problems at the intersection of machine learning, computer vision, and product engineering. Colleagues describe him as mission-driven, leveraging technical depth to make systems that positively impact users beyond just metrics.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at New York University
The Mother's International School
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Shiv Nadar University