Akshay Padte is a software engineer with eight years of experience building reliable, high-throughput systems and AI tooling, currently working on AI training scheduler infrastructure at Meta in Seattle. He holds a 4.0 MS in Computer Science from USC and has delivered production services at smallcase that improved idempotent order processing and Kafka consumer throughput. Akshay blends research and engineering, having built an ML-assisted annotation platform for body-worn video at USC’s Morality and Language Lab. He is an active open-source contributor to p5.js—optimizing builds, improving file/image handling and cutting GIF output sizes—demonstrating a knack for performance tuning and developer experience. His background spans full-stack work, distributed systems, and developer-facing libraries, and he often surfaces practical fixes that reduce release size and runtime costs. Akshay’s combination of academic rigor and hands-on contributions makes him effective at bridging research prototypes and production-grade infrastructure.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4, Master of Science - MS, Computer Science, 4.0/4 at University of Southern California
Bachelor of Technology - BTech, Computer Engineering, 9.17/10, Bachelor of Technology - BTech, Computer Engineering, 9.17/10 at KJ Somaiya College of Engineering, Vidyavihar
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —
Role in this project:
Full-stack Developer
Contributions:4 reviews, 63 commits, 29 PRs in 8 months
Contributions summary:Akshay primarily contributed to the `p5.js` library by addressing file handling and image manipulation functionalities. They implemented parsing of JSON and XML files within the `p5.File` object, and modified the `saveGif` function to improve GIF size and transparency. Additionally, the user fixed bugs, improved tests, and added features for the downloading/saving of files such as table, images, and animated gifs. These changes enhanced the capabilities and user experience of the library.
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