You will get a Custom RAG Pipeline and Document Intelligence System
Top Rated
Project details
Most businesses have valuable knowledge locked inside PDFs, compliance manuals, internal databases, and documentation their team cannot access quickly.
I build custom RAG pipelines and document intelligence systems that retrieve accurate, citation-backed answers from your internal knowledge base, uploaded files, OCR-processed documents, or live business data — without hallucinations and without exposing sensitive content to public models.
Built using LangChain, Pinecone or Qdrant, and OpenAI or Anthropic Claude, with strict prompt engineering and retrieval-first logic that prevents the LLM from generating responses outside retrieved document context.
I have built these systems for law enforcement legal compliance platforms, HIPAA-compliant healthcare analytics, nonprofit knowledge management, and enterprise SaaS products.
The system integrates into your web platform, mobile app, or Slack workspace, or exposes as an API endpoint. Document ingestion supports PDFs, Word files, OCR-processed content, structured database records, and live data sources.
If you need AI to answer questions from your own data rather than general knowledge, send me a message.
I build custom RAG pipelines and document intelligence systems that retrieve accurate, citation-backed answers from your internal knowledge base, uploaded files, OCR-processed documents, or live business data — without hallucinations and without exposing sensitive content to public models.
Built using LangChain, Pinecone or Qdrant, and OpenAI or Anthropic Claude, with strict prompt engineering and retrieval-first logic that prevents the LLM from generating responses outside retrieved document context.
I have built these systems for law enforcement legal compliance platforms, HIPAA-compliant healthcare analytics, nonprofit knowledge management, and enterprise SaaS products.
The system integrates into your web platform, mobile app, or Slack workspace, or exposes as an API endpoint. Document ingestion supports PDFs, Word files, OCR-processed content, structured database records, and live data sources.
If you need AI to answer questions from your own data rather than general knowledge, send me a message.
Machine Learning Tools
BERT, ChatGPT, GPT-3, NLTK, Python, PyTorch, Stanford CoreNLP, TensorFlow, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$5,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
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MI
Michael I.
Feb 18, 2026
Next JS Developer Needed for Website Completion
Great team to work with!
VC
Vanessa C.
Jul 31, 2025
AI Development and Website Integration Specialist
Hassan from Stackup Solutions has been instrumental to our AI development and website integration. He handled complex AI workflows and seamless integrations with precision, all while keeping communication clear and professional. His expertise and problem‑solving made this project a smooth, high‑quality experience.
AM
Autumn M.
May 27, 2025
Full stack developer needed
I worked with Hassan via Stackup Solutions on a full stack web development project — everything from the React frontend to the Node.js + MongoDB backend was delivered seamlessly. The app runs fast, looks great, and was built with scalability in mind, including room for future AI integration. Smooth and professional experience throughout. Definitely recommend him for any custom web development work!
AW
Angus W.
Jan 23, 2025
Full stack developer React Native and Node.js (API)
We worked with Hassan on a complex React Native project over an extended period. His technical skills were strong, and he delivered quality work that met the project’s requirements. We appreciated his attention to detail and how he took feedback on board and sought to improve the project. The team had some challenges with time management and communication due to the time zone differences, but we were able to work through them effectively and always trusted that his work would be delivered in a professional and capable manner. Overall, Hassan contributed significantly to the project, and we really appreciate his efforts.
ID
Ivan D.
May 10, 2024
Fullstack Developer with proficiency in React, Firebase for an existing creator economy web app
About Hassan
AI Integration & Automation Expert | LLMs, Agents & SaaS Workflow
100%
Job Success
Lahore, Pakistan - 9:01 am local time
I build AI automation systems, voice agents, and full stack products for founders and business owners who are done experimenting and ready to ship something that actually runs the business.
I build the AI layer, the voice agent infrastructure, the automation logic, the backend architecture, the CRM integration, and the frontend interface as one complete delivery. No handoffs. No gaps. No second developer needed to connect what was already built.
𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐟𝐫𝐨𝐦 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝:
15 to 35 percent increase in booked appointments for a real estate AI voice agent platform replacing manual cold calling across hundreds of agents daily.
70 percent reduction in admin workload for a SaaS platform replacing spreadsheets and disconnected tools with a single AI-powered system of record.
Complete lead to payment automation pipelines running without human involvement across real estate, healthcare, self-storage, restaurants, and automotive businesses.
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝:
AI Voice Agents — inbound and outbound AI calling systems built on Twilio, ElevenLabs, Vapi, Retell, and Bland AI, integrated with CRMs, calendars, and payment systems for complete end-to-end AI workflow automation. Delivered across real estate, healthcare, restaurants, automotive, and self-storage businesses.
AI Workflow Automation — end-to-end AI automation pipelines on Make, Zapier, n8n, and custom webhook architectures with GoHighLevel and HubSpot integration covering the full lead lifecycle from first contact to closed deal.
AI SaaS Platforms — vertical AI SaaS products with LLM integration, RAG pipelines, agentic AI systems, multi-tenant architecture, Stripe billing, and role-based access, production-ready from day one.
LLM and RAG Systems — custom LLM workflows using OpenAI API and Anthropic Claude, RAG pipelines with LangChain and Pinecone for semantic search, document intelligence, and accurate retrieval from internal knowledge bases and live business data.
AI Chatbots and Assistants — GPT-based conversational AI assistants for customer support, sales intake, lead qualification, onboarding, and internal operations integrated into web and mobile platforms.
Agentic AI Systems — multi-step AI agents that plan, execute, and adapt across tools using LangChain agents, OpenAI function calling, and MCP-compatible architectures for intelligent automation beyond basic chatbots.
Full Stack and Mobile Development — React.js, Next.js, and React Native applications built with production architecture on Node.js, Python, FastAPI, and Laravel when the AI system needs a complete web or mobile product around it.
𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤:
I start with a short discovery conversation to understand your goals, users, and constraints. I define the system architecture, break the build into clear milestones, and deliver iteratively so you always have full visibility. I stay through launch.
𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐡𝐚𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐟𝐨𝐫:
Real estate, Healthcare, Automotive, Legal Tech, Self-storage, Logistics, Restaurants, Fintech, E-commerce.
𝐒𝐤𝐢𝐥𝐥𝐬 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐬𝐭𝐚𝐜𝐤:
OpenAI API, Anthropic Claude, LangChain, LlamaIndex, Pinecone, Qdrant, RAG pipeline, vector database, agentic AI, MCP architecture, AI voice agent, Twilio, ElevenLabs, Vapi, Retell, Bland AI, WhatsApp automation, AI automation, LLM integration, AI agent, multi-agent system, AI chatbot, conversational AI, prompt engineering, OCR, document intelligence, workflow automation, Make, Zapier, webhook architecture, GoHighLevel, HubSpot, CRM integration, React, Next.js, React Native, Node.js, FastAPI, Python, Django, Laravel, PostgreSQL, MongoDB, Firebase, AWS, Docker, Supabase, Stripe, SaaS development, multi-tenant SaaS, AI SaaS, full stack development, mobile app development.
Shoot a message with your project details. I offer a free 15-minute scoping call where I will map out exactly how I would build your system before any commitment is made.
Steps for completing your project
After purchasing the project, send requirements so Hassan can start the project.
Delivery time starts when Hassan receives requirements from you.
Hassan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Architecture Design
Review your document sources, define the retrieval and chunking strategy, confirm the LLM and vector database stack, and deliver a complete RAG architecture blueprint before any development begins.
Pipeline Build and Integration
Build the document ingestion pipeline, chunk and embed all content using OpenAI embeddings, set up the vector database, implement semantic search and retrieval logic, connect the LLM layer with citation tracking, and integrate into your platform.