Pracheer Gupta is a technology founder and engineering leader with a decade of experience building scalable AI and distributed systems, currently serving as Co-Founder & CEO of JigsawML. He helped architect Amazon’s early similarity-search systems at AWS that powered services like facial recognition, Music and Prime Video, and contributed to Apache MXNet—adding CoreML integration and improving image/data iterator tooling. As a founding team member at Pinecone he helped land the first major customer and set an engineering roadmap for vector search products, blending product intuition with deep technical execution. His background spans core distributed systems work (Paxos-based locking at AWS) to ML research and production at SAP, and he holds advanced engineering and business training from Cornell, Stanford Ignite and Harvard Business School. Notably, he is an inventor on multiple patents and brings a rare mix of hands-on engineering, open-source contribution, and startup-stage hiring and strategy.
10 years of coding experience
11 years of employment as a software developer
Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at Harvard Business School
Stanford Ignite Program in Innovation and Entrepreneurship (on-campus), Stanford Ignite Program in Innovation and Entrepreneurship (on-campus) at Stanford University Graduate School of Business
St. Stephen's College, Delhi
The Air Force School
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Vellore Institute of Technology
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
ML Engineer
Contributions:16 commits, 22 PRs, 98 comments in 8 months
Contributions summary:Pracheer primarily contributed to the documentation and enhancement of the MXNet library, specifically focusing on data iterators and image processing functionalities. They updated documentation for `DataIter`, `image.center_crop`, and `ImageRecordIter`, improving clarity and accuracy. Additionally, the user worked on integrating MXNet with Apple's CoreML framework, adding a converter and fixing existing issues to enable model deployment on Apple devices.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.