I build software that holds up beyond the demo.

I'm Satish Rajnale, a Senior AI Product Engineer. My work spans backend and SaaS systems, mobile products, and AI-native applications. I focus on taking a product problem from its first useful definition through implementation, deployment, and the feedback that follows.

On AI products, that means deciding what the model should handle, what needs deterministic rules, what evidence a result must carry, and where a person should review an action. The surrounding system matters just as much: state, integrations, retries, observability, and a product experience that makes limits clear.

I work across Python and FastAPI backends, PostgreSQL and Redis, agent orchestration and retrieval, external integrations, and React/TypeScript product surfaces. The right shape depends on the problem; I try to keep the architecture as simple as the reliability and product needs allow.

How I approach the work

I start by clarifying the user outcome and constraints. Then I build a small end-to-end path, make failure and human-review boundaries explicit, and use what we learn to decide what deserves more investment. I value clear tradeoffs, verifiable behavior, and systems that a team can operate after the initial build.

What I'm exploring

I'm currently interested in persistent context for AI products, dependable agent workflows, evaluation that reflects real user tasks, and product designs that keep people in control of consequential actions.