Prassanna Ravishankar

ML Engineer. Researcher. Verse Writer.

I specialize in machine learning engineering and research, with a focus on making ML systems more efficient and accessible. When I'm not coding or researching, I write verses that explore musings and philosophy, and host podcasts discussing technology and its philosophical implications.

Prassanna Ravishankar

Mind & Machine

Apr 25, 2025

blog

The Great Rewiring: A Product Builder's Guide to the Converging Tech Shifts Defining the Next Decade

Explore six pivotal technological shifts - Autonomous Economy, Radical Abstraction, Modularity & Composability, Ecosystem Dynamics, Ambient Intelligence, and Next-Gen UX - that are converging to reshape our digital future. A strategic framework for product builders.

Apr 10, 2025

blog

Agents Assemble: The New Fragmentation in AI Agent Frameworks

Dive into the AI agent framework wars! Compare OpenAI, Google ADK, AWS Bedrock, Smol Agents. Explore multi-agent systems & future trends. Expert analysis.

Apr 8, 2025

blog

Experiments as First-Class Citizens

Stop treating ML experiments as disposable! Learn why elevating experiment tracking to first-class infrastructure is crucial for robust MLOps, reproducibility & Software 2.0.

Mar 31, 2025

blog

Navigating the Modern Landscape of Machine Learning Training Infrastructure

A comprehensive overview of modern ML training infrastructure, covering cloud agnosticism, spot instances, on-premise solutions, heterogeneous hardware, distributed training, and emerging GPU cloud providers.

Mar 27, 2025

blog

When (and How) to Invest in MLOps at Your Startup

A practical guide for startup founders on when and how to invest in MLOps - from early stage flexibility to scaling infrastructure, with key principles and pitfalls to avoid.

Mar 23, 2025

blog

Building Tech Products for India: A First-Principles Playbook

Explore why building tech for India means rethinking everything from the ground up—addressing local habits, scale, price sensitivity, and cultural diversity with first-principles design.