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Achievements

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

Achievements

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

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@GoogleCloudPlatform

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msampathkumar/README.md

Hi, I'm Sampath 👋

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.

🌱 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 8k 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 18.4k 3.1k

  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.

    Python 1.2k 892

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

    Terraform samples intended for inclusion in cloud.google.com

    HCL 400 294