Akshat Bubna is a technology leader and Co-Founder & CTO based in New York with 12 years of experience building production-grade AI and web systems. He previously served as a Staff Software Engineer at Scale AI, bringing deep expertise in ML-first infrastructure and large-scale engineering practices to early-stage product development. At Modal he combines hands-on full-stack development with strategic platform design, shipping server-side Python/FastAPI services and React frontends that integrate modern ML models. His open-source work includes a receipt-parser example that ties a React UI to backend job queues and the Donut model, illustrating a practical focus on end-to-end ML application workflows. Trained in Mathematics and Computer Science at MIT, he blends rigorous analytical thinking with product-oriented execution. Peers describe him as a pragmatic builder who prefers shipping integrated, observable systems over speculative prototypes.
12 years of coding experience
3 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Massachusetts Institute of Technology
Contributions:20 reviews, 27 commits, 116 PRs in 4 months
Contributions summary:Akshat implemented a receipt parser application with a job queue, splitting the application into frontend and backend components. They utilized React with JSX for the frontend, enabling users to upload receipt images. The backend, written in Python with FastAPI, handles form data, submits parsing jobs, and polls for results. The user also integrated the Donut model for receipt parsing and implemented styling and other UI improvements.
Contributions:59 commits, 1 comment, 1 issue in 4 months
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