Sepehr Heravi

Sepehr Heravi is a Software Engineer who has experience in implementing various technologies and systems in different companies. At Omnidya, Sepehr worked on automated image processing and face recognition utilizing AWS Lambda triggers. At OmMuse, Sepehr focused on developing and managing front-end systems for an NFT marketplace/music storage platform using React, Typescript, and Go. Their role at Packed involved designing user interfaces and integrating mobile applications with back-end systems. Sepehr holds a Bachelor of Science in Computer Science from UC San Diego.