You will get AI agents & automation systems (basic to advanced)
Project details
I'm currently building an autonomous LangGraph agent that reviews GitHub Pull Requests end to end, fetching live diffs, analyzing code with an LLM, generating fixes, running tests in isolated cloud sandboxes, self-correcting in a loop until tests pass, then merging on approval. That's the level of agentic thinking I bring to every advanced project. You're not getting a chatbot with a fancy wrapper, you're getting a system engineered to handle real complexity, self-correct under failure, and operate autonomously at scale.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Video, Conversational AI, Image Analysis, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, DALL-E, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 15 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.
Additional Revision
+$20About Anas
AI Engineer | LangGraph Agents | RAG Pipelines | LLM Integration
Islamabad, Pakistan - 10:11 am local time
Core expertise:
◉ Autonomous AI agents & multi-agent systems - LangGraph, LangChain
◉ RAG pipelines - document ingestion, chunking, vector storage (Pinecone, Chroma), semantic search
◉ LLM integrations - OpenAI, Azure OpenAI, Gemini, Claude
◉ Serverless & cloud backends - Cloudflare Workers, AWS EC2, S3, Lambda
◉ Async task pipelines - Celery + Redis for production-scale workloads
◉ Python, FastAPI, REST APIs, PostgreSQL
What I've shipped:
◉ A complete RAG pipeline for a UK based blood test laboratory with complex, multi-source and multi-type data handling.
◉ A full SaaS RAG chatbot platform - users upload data, customize behavior, and deploy via QR code, API, or iframe. Built from scratch, production live.
◉ An autonomous LangGraph agent that reviews GitHub PRs, generates fixes, runs tests in isolated cloud sandboxes, self-corrects, and merges on approval
◉ An AI email assistant with Outlook & Gmail integration - LLM-powered triage, summarization, auto-draft. Deployed on Cloudflare Workers with Azure OpenAI for data privacy compliance
◉ An AI interior design generator producing 6 styled room variants from a single image
I work directly with US-based clients - clear communication, async-friendly, no hand-holding needed. I explain architecture in plain terms and ship fast.
If you need an AI system built properly and taken to production, let's talk.
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 & Planning
Full requirements gathering, stakeholder alignment, and system design document
Architecture Design
Design multi-agent topology, data flows, failure handling, and retry logic before development begins