Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

 Go from AI demos to a gated, working agentic system you can reason about, test and defend, backed by evidence, not vibes.

 Agentic Code Engineering, SmartGenie

Sachin Mundra