You will get an AI-powered workflow automation solution for repetitive tasks
Project details
You will get a production-ready Agentic AI system built to automate complex business workflows, reduce manual tasks, and improve efficiency. I build intelligent AI agents using LangGraph, CrewAI, AutoGen, and enterprise-grade LLMs like GPT-4, Claude, and Gemini.
This project includes full workflow architecture, tool integrations, API orchestration, memory handling, and deployment-ready pipelines. Whether you need customer support automation, internal workflow agents, research agents, or document intelligence systems, I can build scalable solutions tailored to your business.
With 5+ years of AI engineering experience and 30+ successful AI deployments, I focus on delivering secure, scalable, and high-performing AI systems that create measurable business impact.
This project includes full workflow architecture, tool integrations, API orchestration, memory handling, and deployment-ready pipelines. Whether you need customer support automation, internal workflow agents, research agents, or document intelligence systems, I can build scalable solutions tailored to your business.
With 5+ years of AI engineering experience and 30+ successful AI deployments, I focus on delivering secure, scalable, and high-performing AI systems that create measurable business impact.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AIOps, Automatic Speech Recognition, Image Processing, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Object Detection, Sentiment Analysis, Synthetic Data Generation, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Jasper AI, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, GPT-J, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,400
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 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 - 5:15 am 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: Requirement Gathering
Understand your workflow, goals, and automation use cases
Step 2: Architecture Planning
Design the AI agent workflow, tools, and integrations