Skip to content
View Vish-TechOps's full-sized avatar

Block or report Vish-TechOps

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Vish-TechOps/README.md

Hello, I'm Vish! 👋

AI Engineer • Technology Leader • Innovation • Strategy • Governance • Observability • DevOps • SRE • Cloud • Open-Source • Mentor

AI engineer and architect with 15+ years of global experience building and operating production-grade systems across Generative AI, Agentic AI, Cloud Platforms, DevOps and Site Reliability Engineering. I design and ship enterprise AI platforms—spanning RAG, vector and graph databases, Model Context Protocol (MCP), and multi-agent orchestration—and embed with engineering teams to take solutions from prototype to production by leveraging Anthropic Claude, OpenAI, Gemini, LangChain, LangGraph, Claude Code, Agent SDKs, Vector Databases (Qdrant), Graph Databases (Neo4j) and custom MCP servers. Equally hands-on across the stack: LLM integration and evaluation, Kubernetes and multi-cloud infrastructure, CI/CD, and AI observability. Earlier, I spent three years onsite in London leading cloud-native SRE and DevOps delivery for Schlumberger's global digital platform — and led cloud migration for Vodafone's Digital Experience Layer across Europe with onsite experience in Germany. International delivery experience across the UK, Europe, and India.

  • ⚡ I’m currently working: Building Enterprise AI Platforms, Agentic AI & Automation, AI Observability & Governance, FinOps & Cost Optimization, Global Cloud & DevOps Modernization
  • 🔭 I’m currently learning: AI Adoption at Scale
  • 📫 How to reach me: LinkedIn · GitHub · Email

Pinned Loading

  1. ai-engineering-stack ai-engineering-stack Public

    An AI-native engineering workspace for prototyping and shipping intelligent systems and workflows — from prototype to production at the speed of AI.

    TypeScript 1

  2. ai-framework-langchain-langgraph ai-framework-langchain-langgraph Public

    LangChain / LangGraph — best for flexible pipelines, and combining RAG with agents; enterprise-grade orchestration.

    Python 1

  3. ai-powered-knowledge-assistant ai-powered-knowledge-assistant Public

    AI-Powered Enterprise Knowledge Assistant (RAG Framework). Unify knowledge. Amplify answers.

    Python 1

  4. ai-engineering-playgroud ai-engineering-playgroud Public

    AI-native workspace for AI experiments

    Python

  5. ai-technology-stack-docs ai-technology-stack-docs Public

    AI Documentation Workspace

  6. devops-sre-cloud-engineering devops-sre-cloud-engineering Public

    This is devops tooling and configs

    Shell