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 - 3:08 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 & 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