You will get an AI system that auto-drafts compliance docs from your files
Project details
Manually drafting contracts, compliance reports, and policy documents from templates eats hours every week — and one missed clause or outdated field can create real risk.
I build AI-powered document auto-drafting systems that pull information from your source files and generate accurate, formatted drafts in your exact template — the same approach behind a document intelligence platform I built for an enterprise client, using OCR, semantic search, and multi-agent drafting to cut compliance drafting time from days to minutes.
You give the system your templates and source documents. It extracts the right information, fills in every field correctly, and produces a draft ready for human review — not a rough outline, an actual usable first draft.
I'm a Lead Full-Stack Developer working daily with RAG pipelines and production AI systems — this is proven engineering, not an experiment.
Message me with your document type and volume before ordering, and I'll tell you honestly which package fits.
I build AI-powered document auto-drafting systems that pull information from your source files and generate accurate, formatted drafts in your exact template — the same approach behind a document intelligence platform I built for an enterprise client, using OCR, semantic search, and multi-agent drafting to cut compliance drafting time from days to minutes.
You give the system your templates and source documents. It extracts the right information, fills in every field correctly, and produces a draft ready for human review — not a rough outline, an actual usable first draft.
I'm a Lead Full-Stack Developer working daily with RAG pipelines and production AI systems — this is proven engineering, not an experiment.
Message me with your document type and volume before ordering, and I'll tell you honestly which package fits.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
Image Analysis, Image Processing, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$700
|
Standard
$1,100
|
Advanced
$1,650
|
|---|---|---|---|
| Delivery Time | 6 days | 10 days | 18 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 |
Frequently asked questions
About Zeeshan
Agentic AI Engineer | RAG, AI Agents, Next.js, Python, React
Gujranwala, Pakistan - 5:58 am local time
I'm a Full Stack & AI Developer working with RAG pipelines, AI agents, and production SaaS platforms — built on Next.js, Python, and the current LLM stack (OpenAI, Claude, Gemini).
WHAT I BUILD
- RAG systems: your documents + LLM = accurate, sourced answers (LangChain, LlamaIndex, Pinecone, ChromaDB)
- AI agents that use tools, make decisions, and complete multi-step workflows (LangGraph, CrewAI)
- Chatbots with real memory, context, and business logic — not just a GPT wrapper
- Document processing, semantic search, and knowledge base systems
- SaaS MVPs from scratch: auth, Stripe payments, dashboards, admin panels
- Secure, scalable APIs (FastAPI, Django, Node.js)
STACK
Frontend: React, Next.js, TypeScript, Tailwind
Backend: Python, FastAPI, Django, Node.js
AI/ML: LangChain, LangGraph, CrewAI, OpenAI, Claude, Pinecone, ChromaDB
Database: PostgreSQL, MongoDB, Supabase
Cloud: AWS, GCP, Docker, Vercel
HOW I WORK
I scope the problem before writing code. You get a clear plan, regular progress updates (no ghosting), clean documented code you fully own, and an honest opinion — if there's a simpler or cheaper way to solve it, I'll tell you before you spend your budget.
I'm actively taking on new projects right now and keep my client count low so every project gets real attention.
NEXT STEP
Send me what you're building, your timeline, and rough budget — I'll reply with an honest assessment and a clear plan.
Steps for completing your project
After purchasing the project, send requirements so Zeeshan can start the project.
Delivery time starts when Zeeshan receives requirements from you.
Zeeshan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Template Review
I review your document templates and source files, then confirm exact scope before starting.
Data Extraction Setup
I configure OCR and semantic extraction so the system correctly reads your source documents.