Sagar Shah is an Applied AI Data Consultant and entrepreneur with 11 years of full-stack engineering experience building web, mobile, IoT and ML solutions across industries from Web3 and biosciences to logistics and maritime shipping. He combines hands-on product leadership (co-founding two startups) with deep technical delivery—designing search and recommendation systems, AI chatbots and custom model training, synthetic data pipelines, and forecasting platforms. Prior experience at KeepTruckin and Credit Suisse spans scalable backend systems, real-time analytics, and offline-first mobile engineering, reflecting a rare blend of low-latency trading and fleet-management domain expertise. A Web3 security fellow and ongoing advisor in climate tech, VC and generative AI, he brings both startup grit and enterprise rigor to client engagements. Notably, he pairs production-ready engineering (TypeScript, NestJS, React, Kubernetes, AWS) with applied ML practice to move domain-specific AI from prototype to deployed systems.
11 years of coding experience
8 years of employment as a software developer
Android For Engineers - Spring 2016, Android For Engineers - Spring 2016 at CodePath
Data Institute: Deep Learning - Part I, Data Institute: Deep Learning - Part I at University of San Francisco
Hong Kong University of Science and Technology (HKUST)
Contributions:28 commits, 14 PRs, 20 pushes in 1 month
mvprxjavakotlindagger2-mvpdagger2
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.