You will get Build Production-Ready Agentic AI Workflows with LangGraph & RAG
Project details
Stop building fragile AI prototypes and start deploying autonomous engines that scale.
Most AI solutions fail in production because they lack robust logic and reliable data retrieval. As an AI & Computer Vision Engineer specializing in LangGraph and RAG, I bridge the gap between "experimental" and "enterprise-ready."
What sets this project apart:
State-Driven Agentic Logic: Unlike simple linear chains, I use LangGraph to build multi-agent architectures that can loop, self-correct, and handle complex decision-making without breaking.
Production-Grade RAG: I don't just "connect data"; I implement advanced retrieval strategies (semantic search, re-ranking, and contextual memory) to virtually eliminate hallucinations.
Scalable MLOps Foundation: My workflows are built for the real world. You receive clean, modular Python code optimized for AWS/Azure deployment, complete with detailed documentation and performance monitoring.
End-to-End Engineering: From designing the initial architecture to final MLOps integration, I ensure your AI isn't just a chatbot, but a high-performance asset that solves real business challenges.
Most AI solutions fail in production because they lack robust logic and reliable data retrieval. As an AI & Computer Vision Engineer specializing in LangGraph and RAG, I bridge the gap between "experimental" and "enterprise-ready."
What sets this project apart:
State-Driven Agentic Logic: Unlike simple linear chains, I use LangGraph to build multi-agent architectures that can loop, self-correct, and handle complex decision-making without breaking.
Production-Grade RAG: I don't just "connect data"; I implement advanced retrieval strategies (semantic search, re-ranking, and contextual memory) to virtually eliminate hallucinations.
Scalable MLOps Foundation: My workflows are built for the real world. You receive clean, modular Python code optimized for AWS/Azure deployment, complete with detailed documentation and performance monitoring.
End-to-End Engineering: From designing the initial architecture to final MLOps integration, I ensure your AI isn't just a chatbot, but a high-performance asset that solves real business challenges.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Speech Synthesis, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, Jurassic-2, LLaMA, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$499
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 10 days | 15 days | 30 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$700 - $3,000About Muhammad
AI & Computer Vision Engineer | LangGraph & AWS Production Specialist
Islamabad, Pakistan - 6:39 am local time
I specialize in engineering production-grade AI solutions designed to solve high-stakes business challenges. Leveraging a Master’s in Data Science and years of experience as a Lead AI Engineer, I bridge the gap between manual "labors" and high-performance, autonomous engines.
I don't just build "wrappers." I develop sophisticated Agentic Workflows with advanced state management using LangGraph and Computer Vision systems tailored with custom datasets to excel in real-world complexity.
𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬:
✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: I architect stateful AI agents using LangGraph and LangGraph Studio. My systems manage complex multi-step reasoning and "human-in-the-loop" workflows that standard LLM calls simply cannot handle.
✅ 𝐇𝐢𝐠𝐡-𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: From custom YOLO model training to intelligent OCR pipelines. I specialize in Dataset Engineering creating high-variance data to guarantee 95%+ accuracy even in unstructured, challenging environments.
✅ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Automating the flow of information from unstructured documents within high-compliance industries like Fintech and Medical Operations.
✅ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Full-scale deployment using AWS (ECR, EC2, S3, Lambda) and Docker. I ensure your AI ecosystems are secure, cost-optimized, and built to support thousands of concurrent users.
𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞:
✔️ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐆𝐫𝐚𝐝𝐞 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬: I bring the rigor, security, and scalability of professional production environments to every project. I build for long-term reliability, not just short-term demos.
✔️ 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: I manage the entire development lifecycle—from custom data synthesis and model fine-tuning to cloud-native deployment and MLOps.
✔️ 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: Expert-level proficiency in LangGraph, PyTorch, YOLO, and AWS-based MLOps pipelines.
𝐌𝐲 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤:
● 𝐋𝐋𝐌 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangGraph, LangGraph Studio, LangChain, LlamaIndex
● 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: YOLO (v8/v10), PyTorch, OpenCV, Dataset Synthesis
● 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: AWS (Lambda, ECR, S3, EC2), Docker, GitHub Actions
● 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Python (FastAPI), SQL/NoSQL, Retool
𝐖𝐞 𝐀𝐫𝐞 𝐚 𝐆𝐨𝐨𝐝 𝐅𝐢𝐭 𝐈𝐟:
✅ You require AI solutions that deliver measurable business results fast.
✅ Your team needs production-ready systems, not experimental scripts.
✅ You want to unlock the potential of your data through intelligent automation.
✅ You value high-level technical expertise paired with strategic business acumen.
Drop me a message and let's schedule a call to turn your manual bottlenecks into high-efficiency automated profit centers.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & System Architecture
We’ll start with a deep dive into your business logic. I will design the LangGraph state machine and RAG architecture to ensure the agentic flow is robust, scalable, and tailored to your specific data.
Core Workflow Development & Data Indexing
I will build the Multi-Agent system using Python. This includes setting up Vector Databases, implementing semantic search, and configuring the retrieval-augmented generation (RAG) pipeline for high accuracy.