You will get a multi-agent AI system using LangGraph or AutoGen
Project details
I build production-grade multi-agent AI systems using LangGraph and AutoGen, delivering intelligent automation that goes beyond single-model pipelines. With 6+ years in AI/GenAI engineering, I design agentic architectures where multiple specialized AI agents collaborate, reason, and execute tasks autonomously.
Each agent in the system has dedicated roles — planner, executor, critic, researcher — working together with shared memory, tool access, and state management. I implement human-in-the-loop controls, error recovery, and observability so the system is enterprise-ready from day one.
Whether you need a single-domain automation agent or a full enterprise agentic platform with RAG, monitoring, and CI/CD deployment, I deliver clean, documented, production-quality code with API endpoints and full handoff support.
Each agent in the system has dedicated roles — planner, executor, critic, researcher — working together with shared memory, tool access, and state management. I implement human-in-the-loop controls, error recovery, and observability so the system is enterprise-ready from day one.
Whether you need a single-domain automation agent or a full enterprise agentic platform with RAG, monitoring, and CI/CD deployment, I deliver clean, documented, production-quality code with API endpoints and full handoff support.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$900
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
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Sunny is exceptionally good at what he does. Even after a project is completed, he remains highly responsive to feedback and is always willing to help resolve any issues or integration hiccups that may arise. His support doesn’t end with project delivery, which is truly commendable.
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KS V.
Aug 13, 2026
Non-Verbal Image Reconstruction PoC
What a professional! Sunny did a really good job throughout the project. He understood the requirement well and delivered impressive reconstruction quality. I was particularly happy with the live demonstration, where the results were very close to the original images. He was also responsive and clear in his communication throughout the project. Overall, a very smooth and positive experience working with him.
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Professional
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
About Sunny
AI Agent Engineer | MCP, RAG, LangGraph, Copilot Studio & Azure
100%
Job Success
Chandigarh, India - 12:20 pm local time
I have 6 years of experience delivering production-grade AI and data systems in Fortune 500 retail, consulting, financial-data, and cybersecurity environments.
SELECTED RESULTS
• Built a real-time multi-agent cybersecurity platform that improved incident-response speed by 40%.
• Delivered an image-to-data pipeline with 95%+ accuracy across complex document types.
• Built natural-language-to-SQL assistants that eliminated manual query writing and enabled non-technical teams to access live business data.
• Developed enterprise document and workflow automation using private data, APIs, cloud services, and human approval controls.
WHAT I BUILD
• Enterprise AI agents and multi-agent workflows using LangGraph, LangChain, AutoGen, and LlamaIndex
• Production RAG systems over documents, databases, and business knowledge
• Document intelligence, extraction, classification, and structured-output pipelines
• Natural-language SQL and analytics assistants
• MCP, API, ERP, and business-workflow integrations
• Cloud deployment and production hardening on Azure and AWS
DELIVERY
I can own the complete lifecycle: requirements discovery, architecture, prototype, retrieval and data layer, API backend, evaluation, deployment, monitoring, and support.
CORE STACK
Python, FastAPI, LangGraph, LangChain, LlamaIndex, AutoGen, Azure OpenAI, AWS Bedrock, OpenAI, Claude, Gemini, Pinecone, Weaviate, PostgreSQL, Docker, Kubernetes, Databricks, and Kafka.
WHY CLIENTS HIRE ME
• Production systems, not isolated prompt demos
• Full-stack AI ownership from architecture through deployment
• Clear communication, documented decisions, and realistic estimates
• Enterprise integration experience with private data and controlled workflows
Building an AI agent, RAG system, document-intelligence workflow, or enterprise LLM application? Send me the problem, current systems, and desired outcome. I will propose the smallest reliable path to production.
Steps for completing your project
After purchasing the project, send requirements so Sunny can start the project.
Delivery time starts when Sunny receives requirements from you.
Sunny works on your project following the steps below.
Revisions may occur after the delivery date.
Design, build & deploy agent system
Architect agent roles and workflow, implement with LangGraph/AutoGen, integrate tools and APIs, test agent loops, then deploy with FastAPI and CI/CD pipeline.