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GeezerVison is showing github.com โ€” msampathkumar - Overview

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@msampathkumar
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๐Ÿ’ญ
Hi there

Sampath Kumar msampathkumar

๐Ÿ’ญ
Hi there
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Python Engineer | Tech Lead, Developer Relations (GTM) for Google Cloud. Working on next-generation Agentic technologies like A2A and Google Cloud Platform.
70 followers ยท 30 following
  • Google
  • Warsaw, Poland
  • https://msampathkumar.github.io/
  • https://medium.com/@maddula
  • in/msampathkumar

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Achievement: Starstruckx2Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@GoogleCloudPlatform @a2aproject @agenticresourcediscovery @Search4Agents
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msampathkumar/README.md

Hi, I'm Sampath ๐Ÿ‘‹

Python Engineer | Educator | Tech Lead, Developer Relations (GTM) for Google Cloud.

Working on next-generation Agentic technologies like ADK, A2A and Google Cloud Agent Platform.

I build real-world demos, example apps and step-by-step guides for developers.

Most of my work focuses on improving the global developer experience for Gemini on Vertex AI. I embrace the philosophy of being a "First Customer, Last Engineer," shipping high-impact technical initiatives, code samples, documentation, and demos that help developers build AI applications seamlessly.

I maintain the Google Cloud - Gemini Cookbook Series, a step-by-step guide to teach you how to build Gemini features using real-world example apps like chatbots.

What I work on

  • AI Agents & LLMs: Building Agentic systems, multi-agent orchestration, and tooling using Google ADK and Vertex AI.
  • Developer Workflows: Establishing robust testing frameworks and evaluation (Evals) techniques for agentic reasoning and tool-calling accuracy.
  • RAG & Search: Deep diving into native multimodal embedding models (Gemini Embedding 2) and semantic search architectures.
  • Cost & Latency Optimization: Implementing Vertex AI context caching to make AI applications faster and significantly more cost-effective.
  • Open Source: Developing Python automations and data visualization tools, and maintaining repositories for developer resources.

About Me

  • Senior Developer Relations Engineer | Tech Lead at Google Cloud, specializing in enhancing the developer experience for Vertex AI Gemini.
  • Seasoned Lead Software Engineer with over 12 years of experience as a Python Big Data Engineer, handling Solution Architecture, Machine Learning, and Microservices.
  • Author & Technical Writer: I regularly publish on the Google Cloud Blog (e.g., Save costs and decrease latency while using Gemini with Vertex AI context caching) and maintain my personal technical blogs. I was also a Technical Reviewer for Hands-on Data Analysis and Visualization with Pandas.
  • Tech Speaker & Trainer: Active open-source contributor, technology trainer, and regular speaker at events like GDG CloudFest Poland.

๐ŸŒฑ Building agentic systems or looking to optimize your Gemini implementations? I'd love to connect and share insights!

Connect with me: Linkedin | Medium | Github | Docker | Python | Bluesky

Active Community Group: Linkedin

Pinned Loading

  1. GoogleCloudPlatform/python-docs-samples GoogleCloudPlatform/python-docs-samples Public

    Code samples used on cloud.google.com

    Jupyter Notebook 8.2k 6.7k

  2. google/adk-python google/adk-python Public

    An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

    Python 22.2k 4.4k

  3. google/adk-docs google/adk-docs Public

    An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

    Shell 1.5k 1.5k

  4. terraform-google-modules/terraform-docs-samples terraform-google-modules/terraform-docs-samples Public

    Terraform samples intended for inclusion in cloud.google.com

    HCL 408 307

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