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I will build autonomous ai agents using langgraph, python, openai
Shubham K
About this gig
Stop building dumb chatbots. Start building Autonomous AI Workforces.
Most AI bots just "talk." I build AI Agents that work.
Using LangGraph and Python, I create autonomous systems that can plan, execute, check their own work, and correct errorsjust like a human employee.
What I Build (Use Cases):
- Research Agent: Searches the web, reads 20+ articles, and writes a cited report.
- Marketing Swarm: One agent writes content, another generates images, and a third posts to LinkedIn/Twitter.
- Customer Support: An agent that can query your database, issue refunds, and escalate to a human only when necessary (Human-in-the-Loop).
- Data Analyst: Upload a CSV, and the agent writes Python code to visualize trends and email you the report.
My Tech Stack:
- Orchestration: LangGraph (Stateful, Cyclic Graphs).
- LLMs: GPT-4o, Claude 3.5 Sonnet, or Llama 3 (Local).
- Tools: Tavily (Web Search), Python REPL (Code Execution), Custom APIs.
- Memory: Postgres/Redis checkpointers for long-term state.
Why LangGraph? Unlike standard chains, LangGraph allows for Loops and Self-Correction. If the agent writes bad code, it detects the error, rewrites it, and tries again automatically.
Get to know Shubham K
Shubham K
Full Stack Dev, Backend Architect, AI Automation and API Specialist
- FromIndia
- Member sinceNov 2019
- Last delivery1 year
Languages
English, Hindi
I’m a Top Rated Full-Stack Developer with 5+ years of experience in building scalable backend systems using Node.js, Golang, MongoDB, and automating workflows with Power Automate. From custom APIs and CRMs to AI/LLM-powered apps, I deliver robust, clean solutions for startups and enterprises.
Skilled in React, NextJs, Angular & React Native. Whether it’s automation, messaging systems, or complex integrations, I solve it with code. Let’s build something powerful.
Other AI Development Services I Offer
FAQ
What is the difference between a Chatbot and an Agent?
A chatbot answers questions. An Agent takes action. It can browse the web, run code, send emails, and use software tools to complete a goal.
Can the agent run on my own computer?
Yes! I can build it to run locally using Ollama and Llama 3 so you pay $0 in API fees.
What if the agent makes a mistake?
We use "Human-in-the-loop" architecture. The agent will pause and ask for your approval before taking a critical action (like sending an email or refund).
Do you use no-code tools like Zapier?
No. I write custom Python code using LangGraph. This gives you 100% control, privacy, and no monthly subscription fees to third-party wrappers.
