About Nachiketh Murthy

I work on building production-grade AI systems—where model quality is only one part of the job. The real work is designing reliable data and evaluation loops, handling drift, shipping safe deployments, and integrating AI into real product constraints.

I teach Agentic AI, MLOps, and enterprise AI with an emphasis on engineering fundamentals: observability, cost and latency, failure modes, and maintainable architectures that teams can operate over time.

Manifold AI Learning is where I share what I learn—through YouTube education and hands-on bootcamps—so engineers can move from theory to real-world systems with confidence.