You will get Custom AI Agents with LangChain, LangGraph & CrewAI for Business Automation
Project details
I build autonomous AI agents that actually work in production, not demos,
not prototypes. Using LangChain and LangGraph, I design and deploy
custom agent systems that automate complex workflows, connect to your existing
tools, and handle real-world edge cases without breaking.
What sets this apart: every project starts with an architecture diagram you
approve before I write a single line of code. Every agent is tested in a
secure sandbox. And every delivery includes full documentation and a
walkthrough video, not just a zip file of code.
I've built a production GitHub PR Review Agent that autonomously fetches pull
requests, writes missing tests, fixes bugs, and verifies the fix in an isolated
environment, cutting review time by 60%. That same methodology applies to
whatever you need automated.
If you have a workflow that's eating your team's time, I can build an agent
for it.
not prototypes. Using LangChain and LangGraph, I design and deploy
custom agent systems that automate complex workflows, connect to your existing
tools, and handle real-world edge cases without breaking.
What sets this apart: every project starts with an architecture diagram you
approve before I write a single line of code. Every agent is tested in a
secure sandbox. And every delivery includes full documentation and a
walkthrough video, not just a zip file of code.
I've built a production GitHub PR Review Agent that autonomously fetches pull
requests, writes missing tests, fixes bugs, and verifies the fix in an isolated
environment, cutting review time by 60%. That same methodology applies to
whatever you need automated.
If you have a workflow that's eating your team's time, I can build an agent
for it.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Code, AI-Generated Video, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 19 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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20Frequently asked questions
About Anas
AI Engineer | LangGraph Agents | RAG Pipelines | LLM Integration
Islamabad, Pakistan - 8:14 pm local time
As the sole AI engineer at a California-based SaaS startup, I've independently designed, built, and deployed 4 live applications handling real user traffic, cloud infrastructure, and Stripe billing.
◉ AI Agents & Automation - LangGraph, LangChain multi-agent systems
◉ RAG & Knowledge Retrieval - Pinecone, Chroma, document ingestion, semantic search
◉ LLM Integration - OpenAI, Azure OpenAI, Gemini, Claude
◉ Cloud & Serverless Backends - Cloudflare Workers, AWS (EC2, S3, Lambda)
◉ Async Task Pipelines - Celery + Redis for production-scale workloads
◉ Python, FastAPI, REST APIs, PostgreSQL
Recent projects:
→ RAG pipeline for a UK blood test lab - multi-source, multi-format document ingestion with complex retrieval logic
→ Full SaaS chatbot platform - users upload data, customize behavior, deploy via QR, API, or iframe. Live in production.
→ Autonomous GitHub PR agent - LangGraph-based, runs tests in isolated cloud sandboxes, self-corrects, and merges on approval
→ AI email assistant (Outlook + Gmail) - LLM triage, summarization, auto-drafts. Deployed on Cloudflare Workers with Azure OpenAI for data privacy compliance
→ AI interior design generator - produces 6 styled room variants from a single image
I work async-first with US-based clients. Clear communication, no hand-holding needed, I can explain architecture in plain English and ship without supervision.
Open to discussing your project, feel free to send an invite or message.
Steps for completing your project
After purchasing the project, send requirements so Anas can start the project.
Delivery time starts when Anas receives requirements from you.
Anas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements Gathering
We align on your workflow, goals, and existing tools. I ask focused questions to define the agent's scope, inputs, outputs, and success criteria before writing a single line of code.
Architecture Design & Approval
I design the full agent graph - nodes, tool connections, state flow, and error handling - and share a clear diagram for your review. You approve the plan before development begins.