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Hi, I'm Prass.

ML Engineer. Researcher.

I specialize in machine learning engineering and systems. Currently, I'm at Scale AI, building infrastructure for the agentic web. My open-source work focuses on the "plumbing" of this new ecosystem—creating protocols, auth frameworks, and tools that help agents communicate and operate reliably.


🏗️ Agent Infrastructure & Protocols

  • A2A Registry (GitHub) – A community-driven directory of live, hosted AI agents using the A2A Protocol.
  • Phlow (GitHub) – JWT-based authentication framework for secure agent-to-agent communication.

🛠️ MLOps & Tooling

  • CloudRegion (GitHub) – Intuitive cloud region mapping across AWS, Azure, and GCP.
  • Modalkit (GitHub) – Production-ready framework for deploying ML models on Modal.
  • Tracelet (GitHub) – Unified experiment tracking across MLflow, WandB, and ClearML with zero code changes.

🚀 Ventures & Community

  • Torale (torale.ai) – AI-powered web monitoring platform tracking meaningful changes across the internet.
  • Feed Forward Podcast (Listen) – Co-hosting discussions on the AI landscape.

Connect

LinkedInTwitterprassanna.io

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  1. cloudregion cloudregion Public

    Simple Python library that converts between cloud region names across AWS/Azure/GCP.

    Python 3

  2. torale torale Public

    AI powered conditional automation for monitoring the web

    TypeScript 3

  3. phlow phlow Public

    Seamless auth flow for the agentic web

    Python 3

  4. clearml-mcp clearml-mcp Public

    lightweight MCP server for ClearML

    Python 6 1

  5. modalkit modalkit Public

    A powerful Python framework for deploying ML models on Modal with production-ready features

    Python 2

  6. tracelet tracelet Public

    A unified experiment tracking library that lets you log metrics to MLflow, Weights & Biases, ClearML, or AIM with zero code changes.

    Python 2