You will get Enterprise AI-Powered RAG Document Intelligence Platform
Project details
Transform your business documents into an intelligent AI-powered knowledge platform with a secure, enterprise-grade Retrieval-Augmented Generation (RAG) solution. I develop scalable AI systems that allow users to upload documents, ask questions in natural language, and receive fast, accurate, context-aware answers backed by document sources.
With **20+ years of experience as a Software Engineer, Solution Architect, and Enterprise AI Consultant**, I build production-ready RAG platforms using Local or Cloud LLMs, Vector Databases, Semantic Search, Prompt Engineering, and enterprise-grade security.
My solutions support multi-format document ingestion (PDF, DOCX, TXT, XLSX), AI-powered document search, embeddings, vector retrieval, conversational AI, role-based authentication, analytics dashboards, admin panels, and seamless deployment. Whether you need an enterprise knowledge assistant, document intelligence platform, contract analysis, or a custom AI RAG solution, I deliver secure, scalable, and high-performance systems tailored to your business needs.
With **20+ years of experience as a Software Engineer, Solution Architect, and Enterprise AI Consultant**, I build production-ready RAG platforms using Local or Cloud LLMs, Vector Databases, Semantic Search, Prompt Engineering, and enterprise-grade security.
My solutions support multi-format document ingestion (PDF, DOCX, TXT, XLSX), AI-powered document search, embeddings, vector retrieval, conversational AI, role-based authentication, analytics dashboards, admin panels, and seamless deployment. Whether you need an enterprise knowledge assistant, document intelligence platform, contract analysis, or a custom AI RAG solution, I deliver secure, scalable, and high-performance systems tailored to your business needs.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
LLaMAWhat's included $899
These options are included with the project scope.
$899
- Delivery Time 10 days
- Number of Revisions 2
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Documentation
- Natural Language Processing
- NLP Tokenization
- Prompt Engineering
- Setup File
- Source Code
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Invoice T.
Jul 6, 2026
AI-Powered Smart SQL Query Generator
This was one of the better experiences I've had working with a freelancer on Upwork. Yasmeen understood the project requirements quickly and delivered a high-quality solution that met my expectations. The implementation was clean, the application was stable, and the overall attention to detail was excellent. She was professional, responsive, and easy to work with throughout the engagement. If you're looking for someone who takes ownership of the work and delivers quality results, I would highly recommend Yasmeen.
About Yasmeen
Enterprise AI Architect | Full-Stack Architect | LLM & RAG Specialist
Ghaziabad, India - 7:10 pm local time
Over the past 20+ years, I have architected and delivered enterprise-scale software platforms across Healthcare, Banking, Telecommunications, Aviation, Education, Government, Logistics, and Retail—helping organizations build systems that remain reliable, scalable, and maintainable as they grow.
My role extends beyond implementation. I work closely with founders, CTOs, and engineering leaders to evaluate architectural trade-offs, reduce technical risk, define technology strategy, and guide products from concept through production deployment.
𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
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𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲:
➜ Agentic AI
➜ Retrieval-Augmented Generation (RAG)
➜ Natural Language to SQL (NL2SQL)
➜ LLM Integration & Prompt Engineering
➜ AI Assistants & Enterprise Knowledge Platforms
➜ Intelligent Document Processing (IDP)
➜ Recommendation & Personalization Engines
➜ Predictive Analytics & Workflow Automation
𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴:
➜ Enterprise Web Applications
➜ SaaS Platforms
➜ Full-Stack Architecture
➜ Microservices & REST APIs
➜ Cloud-Native Applications
➜ Database Architecture & Optimization
➜ Authentication & Security
➜ Workflow & Business Process Automation
➜ System Integration
𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀
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The majority of these platforms were designed for high-volume enterprise environments, requiring scalable architectures, complex business workflows, secure integrations, and long-term maintainability.
𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝘃𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀:
➜ Enterprise NL2SQL Intelligent Query Platform
➜ Retrieval-Augmented Generation (RAG) Knowledge Assistant
➜ AI Recommendation & Personalization Platform
➜ Intelligent Invoice Processing & Automation Platform
➜ Resume Screening & Candidate Evaluation Platform
➜ Fraud Detection & Transaction Monitoring System
➜ Enterprise Workforce Planning Platform
➜ University Inventory & Material Management Platform
➜ Warehouse Management System
➜ Transport Management System
➜ OrbitView – AI-Powered Geospatial Intelligence Platform
𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀
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𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴:
Python | OpenAI | Claude | Gemini | LangChain | TensorFlow | Keras | Scikit-learn | Vector Databases | Graph Databases
𝗕𝗮𝗰𝗸𝗲𝗻𝗱:
FastAPI | Spring Boot | Node.js | Java | .NET | REST APIs | Microservices
𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱:
React | Next.js | TypeScript | JavaScript | Material UI | OpenLayers
𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀:
PostgreSQL | SQL Server | MySQL | Oracle | MongoDB
𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀:
AWS | Azure | Docker | Kubernetes | Git | CI/CD
𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲:
➜ Architecture-first thinking that reduces technical debt
➜ Production-ready engineering and scalable system design
➜ Clean, maintainable, and extensible code
➜ Clear technical communication with business stakeholders
➜ AI solutions focused on measurable business outcomes
➜ Long-term engineering partnership from architecture through deployment
Whether you're launching a new AI product, modernizing an existing enterprise platform, or scaling a mission-critical application, I bring an architecture-first approach focused on long-term scalability, operational reliability, and measurable business value.
Steps for completing your project
After purchasing the project, send requirements so Yasmeen can start the project.
Delivery time starts when Yasmeen receives requirements from you.
Yasmeen works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discovery & Requirements
Review your business goals, document types, AI requirements, deployment preferences, and technical architecture to define the optimal RAG solution.
Solution Architecture & Planning
Design the enterprise AI architecture, database, vector storage, retrieval strategy, security model, and project implementation roadmap.