You will get Final handover with setup guide and deployment support


Project details
You will get a secure AI governance framework designed to protect your AI applications, enforce compliance, and reduce operational risks. I build enterprise-grade AI governance systems with guardrails, audit trails, explainability, and monitoring.
This includes policy enforcement, content moderation, PII detection, access control, logging, model risk classification, and compliance-ready documentation. Whether you are deploying AI in healthcare, finance, legal, or enterprise operations, I ensure your AI systems remain safe, compliant, and production-ready.
With proven experience in AI governance frameworks, Bedrock Guardrails, AWS Macie, Arize Phoenix, and enterprise compliance models, I help businesses build trustworthy and secure AI ecosystems. Based on real enterprise deployments, governance frameworks can help achieve 100% compliance readiness and zero critical audit findings.
This includes policy enforcement, content moderation, PII detection, access control, logging, model risk classification, and compliance-ready documentation. Whether you are deploying AI in healthcare, finance, legal, or enterprise operations, I ensure your AI systems remain safe, compliant, and production-ready.
With proven experience in AI governance frameworks, Bedrock Guardrails, AWS Macie, Arize Phoenix, and enterprise compliance models, I help businesses build trustworthy and secure AI ecosystems. Based on real enterprise deployments, governance frameworks can help achieve 100% compliance readiness and zero critical audit findings.
AI Algorithms
AdaBoost, Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Linear Discriminant Analysis, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Self-Organizing Map, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AIOps, Anomaly Detection, Conversational AI, Facial Recognition, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Neural Style Transfer, Object DetectionAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Midjourney AI, OpenAI CodexWhat'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 - 5:12 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: AI Risk Assessment
Analyze your AI system, workflows, and governance requirements
Step 2: Compliance Framework Design
Map policies, regulations, and guardrail requirements