I will custom mcp servers, ai agents, and llm workflows

D
deborshi_roy
D
deborshi_roy
Debo
custom mcp servers, ai agents, and llm workflows
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custom mcp servers, ai agents, and llm workflows

About this gig

Are you looking to connect your databases, internal APIs, and tools to LLMs using Model Context Protocol (MCP) or autonomous agents?

I am a production AI/ML & Platform Engineer building robust agentic systems and low-latency LLM backends. I engineer autonomous agents that dynamically reason over capabilities, call abstract APIs, and execute complex workflows without manual wiring.

WHAT I DELIVER:

  • Custom MCP Servers: Expose private databases, tools, and REST APIs to Claude and OpenAI using clean MCP standards.
  • Autonomous AI Agents: Agents that navigate digital environments, reason over goals, and orchestrate multi-step actions.
  • Real-Time Streaming: Live agent telemetry and state reporting streamed via WebSockets and Server-Sent Events (SSE).
  • Scalable Backends: High-concurrency asynchronous pipelines built with FastAPI and AWS SQS.
  • Cloud Deployments: Production Docker, AWS Fargate/ECS, or Kubernetes setups.

TECH STACK: Python, FastAPI, OpenAI, Claude, MCP, WebSockets, SSE, AWS SQS, AWS Fargate, Docker.

  • AI engine

    • ChatGPT
    • Claude
    • Gemini
    • Azure OpenAI
    • Vertex AI
    • Mistral AI
    • Cohere
    • Hugging Face

  • Tools & frameworks

    • LangChain
    • LangGraph
    • OpenAI Agents SDK
    • Google ADK

  • AI solution type

    • AI agent
    • AI chatbot
    • Rag system
    • AI workflow
    • AI assistant
    • Internal AI tool
    • Other

  • Purpose

    • Research
    • Workflow automation
    • Document processing
    • Data analysis
    • Employee productivity
    • Project management
    • It support
    • Healthcare

Get to know Debo

Debo

AI Platform Engineer, Autonomous Agents and Real Time Systems

  • FromIndia
  • Member sinceOct 2018

  • Languages

    English
AI/ML & Platform Engineer with 4+ years of production experience building autonomous AI agents, custom Model Context Protocol (MCP) servers, and real-time LLM workflows. Previously engineered enterprise GenAI platforms at Cognizant and Qyrus. Tech Stack: Python, FastAPI, Next.js, WebSockets, SSE, AWS Fargate, SQS, Docker, and PySpark. I deliver production-grade systems focused on sub-500ms latency, dynamic tool-calling, robust guardrails, and live data streaming. Let's build scalable AI products together.

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