I will build ai agents, rag chatbots and ai workflow automation


About this gig
Need an AI agent, RAG chatbot or automated workflow that actually works in production not just a demo? I'm a Platform Engineer at a global fintech (Paysafe), where I integrated ML models into our underwriting system and lifted auto-decisioning to 80%. I also won Paysafe's company-wide AI Hackathon (1st of 30+ teams) with CogniFlow a visual workflow automation platform with AI-assisted design, a multi-step execution engine and an MCP server that exposes workflows as agent-callable tools.
What I build:
RAG chatbots over your docs, PDFs, Notion or database
Tool-using AI agents and multi-agent workflows (LangChain, LangGraph, OpenAI Agents SDK, Google ADK)
MCP servers that connect your systems to Claude/ChatGPT
AI copilots and internal tools for support, finance, e-commerce, education and ops
Models: OpenAI, Claude, Gemini, AWS Bedrock, Hugging Face
Stack: Python, Node.js/TypeScript, PostgreSQL, MongoDB, Redis, Docker, Nginx
Every order includes: clean source code, documentation and deployment support.
Message me before ordering so we can scope your use case.
Get to know Kushal K
Platform Engineer
- FromIndia
- Member sinceSep 2026
Languages
Hindi, English
My Portfolio
FAQ
Which AI model will you use?
Whichever fits your budget, accuracy and privacy needs: OpenAI, Claude, Gemini, or open-source models via Hugging Face or Bedrock. I'll recommend one after we discuss your use case.
Do I need to pay for API keys?
Yes. Model API usage is billed to your own account, so you keep full ownership and control of costs.
Can you deploy it for me?
Yes. Standard and Premium include deployment to your server or cloud (Docker, VPS, AWS).
Can it use my private data?
Yes. That's what RAG is for: your documents or database get indexed so the bot answers from your data.
What do I get at the end?
Full source code, a setup and usage guide, and a working demo.
