Summary
Sagar Shah is a seasoned Applied AI Data Consultant and entrepreneur with 10 years of experience building enterprise-grade software across healthcare, logistics, and fintech. He combines full-stack engineering with AI and data solutions—from search and recommendation systems to domain-specific model training, synthetic data generation, and scalable data platforms for enterprise use. As a co-founder and CTO, he led Agrowfi (digital trade finance) and Kadi Africa (logistics platform), delivering end-to-end solutions using TypeScript, NestJS, React, React Native, Docker, and AWS. Currently self-employed, he collaborates with clients across Web3, biosciences, logistics, and maritime shipping to onboard traditional businesses onto the Web3 ecosystem, and serves as an advisor across climate tech, VC, manufacturing, Web3, and Generative AI. Based in the United States, he holds a BEng in Computer Science from HKUST and has completed programs in Android engineering, Solidity bootcamps, and deep learning to stay at the intersection of product, security, and cutting-edge AI.
11 years of coding experience
8 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)