Mukesh Chandra

I'm an AI product and technology leader bridging backend engineering expertise with AI product management.

After years of building scalable backend systems and cloud architectures, I've made a deliberate pivot toward AI products. My technical foundation distributed systems, data pipelines, real-time platforms turns out to be exactly what's needed to build and ship AI products that actually work in production.

Today, my work sits at the intersection of AI systems and product strategy:

• Building AI-powered products that solve real problems (not just demos)
• Designing ML pipelines and GenAI architectures that scale
• Translating AI capabilities into product features users actually want
• Bridging the gap between ML research and production engineering

I remain hands-on with code (Go, Python, Node.js) and infrastructure (AWS, Kubernetes), but my primary focus is on AI product outcomes, figuring out what to build, how to ship it, and how to measure success in a world where outputs are probabilistic.

I write about AI product management, GenAI patterns, ML systems, and the lessons learned from building intelligent products that ship.