You will get Custom AI Agent (RAG + LangChain) for Automated Q&A, Workflows,Parsing
Top Rated
Project details
Are you tired of your team wasting hours manually answering questions, handling documents, or doing repetitive tasks?
I’ll build a fully customized AI Agent using LangChain/LangGraph, designed specifically for your business. It can:
🔍 Answer Questions from PDFs, Policies, Contracts (RAG pipeline with OpenAI or Claude)
📊 Extract Data from Invoices or Forms using OCR + LayoutLM
🧠 Automate Multi-Step Workflows like "Book appointment + notify team + update calendar"
🎤 Transcribe Meetings and generate summaries (Whisper/NVIDIA NeMo)
💬 Deploy Chat Interface on your website, CRM, or Slack
Perfect for: Startups, Legal, HR, SaaS Teams, Consultants, Healthcare, EdTech, eCommerce
✅ What You’ll Get
You will receive:
✅ A custom-built LLM agent (RAG-based or Tool-using)
✅ Integrated LangChain/LangGraph logic
✅ Document handling + memory + feedback loops
✅ API & tool integrations (search, calendar, Slack, etc.)
✅ Deployment via Docker or serverless (your choice)
✅ Short Loom walkthrough + setup documentation
I’ll build a fully customized AI Agent using LangChain/LangGraph, designed specifically for your business. It can:
🔍 Answer Questions from PDFs, Policies, Contracts (RAG pipeline with OpenAI or Claude)
📊 Extract Data from Invoices or Forms using OCR + LayoutLM
🧠 Automate Multi-Step Workflows like "Book appointment + notify team + update calendar"
🎤 Transcribe Meetings and generate summaries (Whisper/NVIDIA NeMo)
💬 Deploy Chat Interface on your website, CRM, or Slack
Perfect for: Startups, Legal, HR, SaaS Teams, Consultants, Healthcare, EdTech, eCommerce
✅ What You’ll Get
You will receive:
✅ A custom-built LLM agent (RAG-based or Tool-using)
✅ Integrated LangChain/LangGraph logic
✅ Document handling + memory + feedback loops
✅ API & tool integrations (search, calendar, Slack, etc.)
✅ Deployment via Docker or serverless (your choice)
✅ Short Loom walkthrough + setup documentation
AI Algorithms
Convolutional Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Long Short-Term Memory Network, Multilayer Perceptron, Radial Basis Function Network, Recurrent Neural Network, Restricted Boltzmann Machine, Self-Organizing Map, StyleGANAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, Anomaly Detection, Conversational AI, Facial Recognition, Sentiment Analysis, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Replit, TensorFlowAI Models
AlphaCode, BERT, ChatGPT, DALL-E, Dolly, GPT-4, GPT-J, LaMDA, LLaMA, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 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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About Rehan
Agentic AI Engineer | LangGraph, RAG & Full-Stack Systems
100%
Job Success
Islamabad, Pakistan - 10:38 am local time
I help SaaS teams and operations-heavy businesses turn documents, data, and existing tools into reliable AI products: agents that retrieve trusted answers, call APIs, automate multi-step workflows, and hand off with clear audit trails.
Top Rated on Upwork | 1,300+ hours | 45 completed contracts | $60K+ earned
What I build:
• Agentic AI systems — LangGraph workflows, multi-agent routing, tool use, memory, guardrails, and human approval points
• RAG & GraphRAG — grounded answers over PDFs, policies, contracts, databases, and knowledge bases with citations and retrieval evaluation
• Full-stack AI products — polished React/Next.js interfaces, Python/FastAPI or Node.js APIs, authentication, dashboards, and admin tooling
• AI automation & integrations — CRM, Slack, GitHub, databases, webhooks, and custom business APIs
• Production foundations — PostgreSQL/pgvector, Redis, Docker, AWS, observability, tests, CI/CD, and secure deployment
Selected product work:
• ASDO: governed multi-agent software delivery with sandboxed execution, policy controls, security checks, and release approvals.
• PMIS-RAG-AI: multimodal construction intelligence for project records, document routing, FIDIC contract support, and formal correspondence.
• QanoonAI: a legal GraphRAG platform combining LangGraph, hybrid retrieval, Neo4j, FAISS, FastAPI, Next.js, and Docker.
• Agentic Portfolio Risk Orchestrator: auditable risk workflows with deterministic analytics, grounded retrieval, and AWS-ready architecture.
My approach is product-first: clarify the workflow and success metric, design the architecture, build the usable system, then leave you with clean code, documentation, and deployment guidance.
If you need a production-grade AI agent, RAG system, automation layer, or complete full-stack product, send me your use case and I’ll propose a practical implementation plan.
Steps for completing your project
After purchasing the project, send requirements so Rehan can start the project.
Delivery time starts when Rehan receives requirements from you.
Rehan works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Requirments and budget review
I'll review your requirments and budget if that falls under offered packages WE''ll move forward into development