Computer science student at Stanford building AI education tools — open to software engineering internships.
Anish Anne is a computer science student at Stanford (expected 2027). He builds software at the intersection of education and applied ML — most recently as CTO of Ember Learning (DeAP Learning), an AI tutoring platform that has reached over 150,000 students and answered more than 2 million questions, where he led a team of 7 building a RAG-based tutoring API on Azure.
Before Stanford he shipped products that got used. Progress In Congress, a nonpartisan congressional tracker he built with a team of four, won the 2022 Congressional App Challenge in New York's 18th District. Statcord, a Discord analytics startup he founded and later sold, shipped open-source libraries that passed 500K+ downloads. He also wrote computer vision algorithms at Bard College's Gravitational Wave Optics Lab to grade optics for MIT's LIGO, turning three hours of manual inspection into five minutes.
In summer 2025 he was a software engineering intern at Google, using AI agents to catch inconsistent setting configurations across 250+ first-party Workspace apps. He's a 2024 Coca-Cola Scholar (150 chosen from 103,000 applicants) and is recruiting for Summer 2027 software engineering internships.