You will get a custom multi-agent workflow using LangGraph or CrewAI
Project details
You will get a custom multi-agent workflow designed to automate complex tasks using LangGraph or CrewAI. I build intelligent AI systems where multiple agents collaborate, plan, execute, and make decisions based on your business logic.
This can include research agents, customer support agents, document analysis agents, workflow automation agents, and API-connected task agents. Each system is designed for scalability, memory retention, and tool orchestration.
With hands-on experience in production-grade multi-agent architectures, I focus on building systems that improve efficiency, reduce manual work, and deliver real business value through autonomous AI execution.
This can include research agents, customer support agents, document analysis agents, workflow automation agents, and API-connected task agents. Each system is designed for scalability, memory retention, and tool orchestration.
With hands-on experience in production-grade multi-agent architectures, I focus on building systems that improve efficiency, reduce manual work, and deliver real business value through autonomous AI execution.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Multimodal Large Language Model, Radial Basis Function Network, Regression Analysis, Restricted Boltzmann Machine, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Sequence Modeling, Synthetic Data GenerationAI Tools
Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, GPT-4, GPT-J, GPT-Neo, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,400
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
Number of Revisions | 2 | 3 | 5 |
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 | - | - | - |
About Bhupinder Singh
Agentic AI Architect | Multi-Agent Systems | RAG | LLMOps
Johnston, United States - 4:51 pm local time
With 5+ years of AI/ML experience and 30+ successful AI deployments, I specialize in building intelligent systems using LangGraph, CrewAI, AutoGen, AWS Bedrock, Azure OpenAI, and Vertex AI.
𝗠𝘆 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗰𝗼𝘃𝗲𝗿𝘀 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗔𝗜 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲:
✔ Multi-Agent System Design
✔ RAG (Retrieval-Augmented Generation) Pipelines
✔ MCP Server Development & Tool Integration
✔ AI Automation Workflows
✔ LLMOps, Monitoring & Evaluation
✔ AI Governance, Guardrails & Compliance
✔ Enterprise AI Infrastructure on AWS, GCP & Azure
I build AI systems that do more than just chat.
𝗥𝗲𝗰𝗲𝗻𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀:
• Autonomous Loan Underwriting Agent (78% faster decisions)
• Clinical Knowledge Assistant for Hospital Chains (40K+ documents indexed)
• AI Customer Support Automation Platform ($1.2M annual savings)
• Contract Intelligence Platform (90% review time saved)
• Agentic Market Research Systems (85% analyst time saved)
𝗠𝘆 𝘁𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀:
→ LangGraph, CrewAI, AutoGen
→ AWS Bedrock, SageMaker
→ Azure OpenAI
→ Vertex AI
→ Claude, GPT-4o, Gemini, Llama
→ Pinecone, Weaviate, pgvector
→ LangSmith, Arize Phoenix
→ Terraform, CI/CD, MLflow
If you're looking to build autonomous AI agents, enterprise RAG systems, or AI workflow automation, I can help you architect, build, and deploy scalable solutions end-to-end.
Steps for completing your project
After purchasing the project, send requirements so Bhupinder Singh can start the project.
Delivery time starts when Bhupinder Singh receives requirements from you.
Bhupinder Singh works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Workflow Discovery
Analyze your business process and define agent responsibilities
Step 2: Agent Architecture Design
Plan how multiple AI agents will communicate and execute tasks