You will get a Hallucination-Free RAG System with Citations
Top Rated
Top Rated
Project details
Stop building chatbots that hallucinate. Start building intelligent systems that cite their sources.
Most developers sell simple wrappers that guess answers. For production business use, you need accuracy, traceability, and security.
You will get a production-grade Retrieval-Augmented Generation (RAG) system engineered to ingest your specific knowledge base (PDFs, SQL, Notion) and return strict, verifiable answers.
My Architecture: The "Truth Loop"
Unlike standard bots, I implement a Retrieval-Validation workflow:
Ingest: Pipelines to clean, chunk, and embed data into high-dimensional vector space.
Retrieve: Hybrid Search (Keyword + Semantic) to pinpoint exact source text.
Generate & Cite: The AI answers and cites the specific document used.
Tech Stack:
Backend: FastAPI (Async), Pydantic (Validation).
Orchestration: LangChain / LangGraph.
Vector DB: Pinecone, Supabase (pgvector), ChromaDB.
LLMs: OpenAI, Anthropic, or Local models.
Why work with me?
I am an AI Systems & Integration Engineer. I don't just write scripts; I build scalable backends, secure API endpoints, and Dockerized containers ready for cloud deployment.
I build the architecture that makes AI reliable.
Most developers sell simple wrappers that guess answers. For production business use, you need accuracy, traceability, and security.
You will get a production-grade Retrieval-Augmented Generation (RAG) system engineered to ingest your specific knowledge base (PDFs, SQL, Notion) and return strict, verifiable answers.
My Architecture: The "Truth Loop"
Unlike standard bots, I implement a Retrieval-Validation workflow:
Ingest: Pipelines to clean, chunk, and embed data into high-dimensional vector space.
Retrieve: Hybrid Search (Keyword + Semantic) to pinpoint exact source text.
Generate & Cite: The AI answers and cites the specific document used.
Tech Stack:
Backend: FastAPI (Async), Pydantic (Validation).
Orchestration: LangChain / LangGraph.
Vector DB: Pinecone, Supabase (pgvector), ChromaDB.
LLMs: OpenAI, Anthropic, or Local models.
Why work with me?
I am an AI Systems & Integration Engineer. I don't just write scripts; I build scalable backends, secure API endpoints, and Dockerized containers ready for cloud deployment.
I build the architecture that makes AI reliable.
Machine Learning Tools
ChatGPT, NumPy, Python, SQL, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$479
|
Standard
$1,136
|
Advanced
$2,473
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Deploy to Cloud (AWS/Azure/GCP)
+$300
Frontend Chat Interface (React/Next.js)
+$300
One-Hour Architecture Consulting
+$200Frequently asked questions
7 reviews
(7)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
CM
Chris M.
Jul 21, 2026
Python/FastAPI Developer — AI Trading System (Code 90% Done — Need a Closer)
CM
Chris M.
Jul 4, 2026
Web Crawler / Comprehensive Shared Execution Platform
Salah is a highly skilled full-stack developer who delivered production-quality work across multiple complex milestones. He departed the project for personal reasons before completion, which made a real damage to the project timeline, but provided a thorough handover and signed all required legal agreements. His technical ability is exceptional and I would recommend him for any engineering engagement.
SC
Sarah C.
Mar 19, 2026
Computational Tutoring and machine learning
Very good experience. Highly recommend!
AA
Anmar A.
Feb 3, 2026
Local LLM Infrastructure Optimization
I had the pleasure of working with Salah on a contract to optimize the local machine LLM, and the results were nothing short of fantastic. From the outset, Salah demonstrated a deep understanding of large language model architectures and the intricacies of hardware performance tuning.
PE
Peyman E.
Dec 9, 2025
Rl and Optimization
About Salah Eldin
AI Automation & Integration Expert | Custom AI Agents & RAG Chatbots
100%
Job Success
Bilbeis, Egypt - 2:12 am local time
Top Rated with a 100% Job Success Score on Upwork. The systems I've shipped are still running for the people I built them for.
AI Agents & Automation
Custom agents and multi-agent systems in LangGraph and n8n that take over repetitive work. I build human-in-the-loop approval into them, so the AI does the heavy lifting but never acts on anything important without your sign-off. I currently run AI automation for a US financial services company where output carries regulatory exposure, so approval gates and output validation are standard practice for me, not an afterthought.
RAG Chatbots & Knowledge Systems
Assistants trained on your own documents that answer with citations instead of inventing things. I use hybrid retrieval combining vector search with keyword search, and I enforce data isolation at the database level, so in a multi-user system one client's data can never surface in another's answers.
Voice AI & Integrations
Sub-800ms voice agents built with client-side voice detection, streaming speech-to-text, and sentence-boundary chunking so the reply starts before the model finishes thinking. Clean API integration with OpenAI, Claude, and Gemini. I work natively in Arabic and English, including dialect handling, which matters if you're serving the MENA market.
Backend that holds up
Python, FastAPI, PostgreSQL, Docker, deployed on AWS, GCP, or Azure. I've built pipelines ingesting around 5 million records daily with delta diffing and full audit history.
How I work
Most of my work happens in the parts clients never see: error handling, retries, and the architecture that keeps your app responsive while the AI thinks. That's the difference between a system you trust and one you babysit.
I'm also honest about fit. If I'm not the right person for your project, I'll tell you upfront rather than take the work.
You can read my code before you hire me. My GitHub is public under salah55s, with production RAG and multi-agent projects, full source and documentation.
If you're adding AI to your product or replacing a slow manual process with something that runs on its own, message me with what you're working on. I'll give you my honest read before you commit to anything.
Steps for completing your project
After purchasing the project, send requirements so Salah Eldin can start the project.
Delivery time starts when Salah Eldin receives requirements from you.
Salah Eldin works on your project following the steps below.
Revisions may occur after the delivery date.
Environment & Data Analysis
I will review your requirements, set up the secure development environment, and analyze your data structure to determine the best embedding strategy.
Ingestion Pipeline Development
I will build the scripts to clean, normalize, and "chunk" your raw data (PDFs/Docs/SQL) into machine-readable vector embeddings.