You will get a Documents Based Chatbot or Helpful AI Assistant
Rising Talent
Rising Talent
Project details
Organizations waste thousands of hours manually searching through documents. I build intelligent RAG chatbots that retrieve the right information instantly, from the right document, with full source citations, powered by LangChain, vector databases, OCR, and leading LLM APIs.
Whether your documents are PDFs, scanned images, tables, or mixed-format files, I design and deploy production-grade RAG pipelines that deliver accurate, context-aware answers, not hallucinated guesses.
What you get across all packages:
š¹ Starter ā Single document RAG pipeline (PDF, TXT) with LangChain, vector database setup, and LLM API integration
š¹ Standard ā Multi-document RAG (PDF, TXT, DOCX) with hybrid semantic and BM25 keyword search, and LLM API integration
š¹ Advanced ā Full RAG pipeline supporting PDF, DOCX, images, tables, and scanned files with OCR, metadata filtering, and hybrid search
Built with:
LangChain | Pinecone | ChromaDB | FAISS | Weaviate | OpenAI GPT | Claude | Gemini | OCR | FastAPI | Python or alternative technologies based on your requirement within your tier package.
Whether your documents are PDFs, scanned images, tables, or mixed-format files, I design and deploy production-grade RAG pipelines that deliver accurate, context-aware answers, not hallucinated guesses.
What you get across all packages:
š¹ Starter ā Single document RAG pipeline (PDF, TXT) with LangChain, vector database setup, and LLM API integration
š¹ Standard ā Multi-document RAG (PDF, TXT, DOCX) with hybrid semantic and BM25 keyword search, and LLM API integration
š¹ Advanced ā Full RAG pipeline supporting PDF, DOCX, images, tables, and scanned files with OCR, metadata filtering, and hybrid search
Built with:
LangChain | Pinecone | ChromaDB | FAISS | Weaviate | OpenAI GPT | Claude | Gemini | OCR | FastAPI | Python or alternative technologies based on your requirement within your tier package.
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
About Hassaan
AI Developer | Agentic AI | LLM & RAG Systems | Voice AI | Python & ML
Lahore, PakistanĀ - 10:48 am local time
ā 4+ Years Experience in AI/ML & Production AI Systems
ā 50+ Projects Successfully Delivered Across Career
ā 100% Client Satisfaction Rate Throughout Career
ā Rising Talent on Upwork
ā Certified in Python | LangChain | Machine Learning
ā Available 20ā25 hrs/week | 24/7 Client Communication
š“ Specialized in transforming AI prototypes into reliable, production-grade systems.
š“ Delivering intelligent AI solutions for startups, SaaS businesses, and enterprise clients.
Organizations rarely struggle with AI ideas ā they struggle with execution, reliability, and production deployment.
I'm šš®ššš®š®š», an AI Engineer with š°+ šš²š®šæš š¼š³ š²š š½š²šæš¶š²š»š°š² building production-grade AI systems. Across š±š¬+ š½šæš¼š·š²š°šš, I have consistently achieved:
ā¢ šÆš¬āš³š¬% reduction in manual workloads through AI automation
ā¢ š®š±āš²š¬% improvement in LLM response accuracy via RAG & prompt engineering
ā¢ š°š¬āš³š¬% improvement in retrieval precision through advanced vector search
ā¢ š®āš±š faster workflow execution using autonomous multi-agent systems
šš²š šš & ššš šš š½š²šæšš¶šš²:
š¹ AI Agents & Agentic AI: LangGraph, CrewAI, Agno, Google ADK, MCP
š¹ Large Language Models: OpenAI GPT, Claude, Gemini, Llama, Mistral
š¹ RAG Systems: LangChain, Pinecone, Weaviate, ChromaDB, FAISS, Milvus
š¹ Prompt Engineering: Structured Outputs, Function Calling, Multi-step Reasoning
š¹ Voice AI & Real-Time Systems: LiveKit, Conversational AI
š¹ Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn
š¹ MLOps & Deployment: Docker, Kubernetes, AWS, Azure, GCP
šŖšµš®š š šš®š» ššš¶š¹š±:
ā Autonomous AI Agents with memory, reasoning, and tool usage
ā Multi-Agent Systems for complex workflow orchestration
ā Production-ready LLM Applications and AI SaaS products
ā RAG Pipelines with optimized vector database retrieval
ā AI Chatbots, Voice AI, and Conversational AI systems
ā End-to-End ML pipelines and AI workflow automation
ā Cloud AI deployment and custom API integrations
šš²š š§š²š°šµš»š¶š°š®š¹ š¦šš®š°šø:
š¹ Agentic AI: LangGraph, CrewAI, Agno, Google ADK, MCP
š¹ LLM Frameworks: LangChain, OpenAI SDK, Claude API, Gemini API
š¹ Open-Source LLMs: Llama, Mistral, Gemma
š¹ Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS, Milvus
š¹ Backend: Python, FastAPI, Flask
š¹ ML: TensorFlow, PyTorch, Scikit-learn, NLP, Computer Vision
š¹ Cloud: AWS, Azure, GCP, Docker, Kubernetes
š¹ Databases: PostgreSQL, MongoDB, SQL, NoSQL
šš¼šæš² š¦šøš¶š¹š¹š:
AI Agents | Agentic AI | Multi-Agent Systems | LLM | RAG | LangChain | LangGraph | CrewAI | Agno | MCP | OpenAI API | Claude API | Gemini API | Prompt Engineering | Pinecone | ChromaDB | FAISS | Python | FastAPI | TensorFlow | PyTorch | NLP | MLOps | Docker | AWS | Azure | GCP | Voice AI | LiveKit | AI Automation
My goal is never just to complete a task, it's to build a relationship rooted in trust, consistent delivery, and results that exceed expectations. Every project gets my full technical commitment because I genuinely care about the impact my work creates.
š šæš²šš½š¼š»š± šš¼ š®š¹š¹ šŗš²ššš®š“š²š šš¶ššµš¶š» šµš¼ššæš ā š®š°/š³.
Let's build something that actually works in production.
šŖš®šæšŗ šæš²š“š®šæš±š,
šš®ššš®š®š»
Steps for completing your project
After purchasing the project, send requirements so Hassaan can start the project.
Delivery time starts when Hassaan receives requirements from you.
Hassaan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Scope Definition
Architecture Design & Tech Stack Planning