You will get a custom AI/ML model developed and trained in Python
Rising Talent
Project details
From your dataset to a trained, validated, deployable model — classification, regression, or deep learning. I build end-to-end ML: cleaning, feature engineering, training, tuning, and honest validation. On industrial sensor data I delivered 88% accuracy on a 12k-sample holdout and fixed label errors to raise F1 by 5.1 points. I'll tell you up front what your data can and can't support. You get the trained model, an evaluation report you can trust, and clean reproducible code — optionally wrapped in a FastAPI endpoint for production. Stack: Python, PyTorch, TensorFlow, scikit-learn, FastAPI, Docker.
What's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 6 days | 12 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Marwan
AI Engineer | LLM/RAG, AI Chatbots & Computer Vision (Python)
Jeddah, Saudi Arabia - 6:38 am local time
Over the last 3+ years I've delivered AI to real users as an engineer and startup CTO: a camera-based vital-sign (rPPG) engine running at 91% heart-rate accuracy on live video, an industrial computer-vision safety platform processing 6 video streams in real time, and production RAG pipelines answering queries in under 165 ms over 30,000+ documents. I'm also the author of 5 peer-reviewed IEEE papers and a national finalist in Saudi Arabia's Future Minerals Pioneers competition.
WHAT I CAN BUILD FOR YOU
• RAG chatbots & AI assistants over your own documents, data, or website (LangChain, FAISS/ChromaDB, OpenAI/Claude/Llama).
• LLM integrations & AI features inside your product — chat, summarization, extraction, agents, structured outputs.
• Computer vision systems — object/PPE/defect detection, tracking, real-time video analytics (YOLO v8/v11, OpenCV, RTSP, edge inference).
• AI/ML model development — training, fine-tuning, evaluation, and getting models from prototype to production.
• AI backends & APIs — FastAPI microservices, Docker, clean REST APIs, dashboards (React/TypeScript).
PROOF (real, measurable)
• rPPG vital-sign engine: 91% HR accuracy (±2.5 BPM MAE) at 28 FPS, deployed to a mobile SDK for 300+ users.
• AURA CV safety platform: 94.2% mAP PPE detection on 11,000 images; cut manual audit overhead 73%.
• Enterprise RAG pipeline: 76% precision@5, sub-165 ms latency, fully containerized.
• As CTO: shipped infra serving ~800 users at 99.7% uptime and cut new-AI-feature validation to 24–72 hours.
HOW I WORK
Clear communication, fast iteration, and honest scoping. I confirm the goal, ship a working slice quickly, and keep you updated. I write maintainable code with tests and document what I deliver so your team can run it.
I'm fluent in English and a native Arabic speaker — so I'm a strong fit for MENA/Gulf clients and for Arabic-language AI (Arabic RAG, NLP, and chatbots). Trained through SDAIA and KAUST. Available now for both one-off projects and ongoing work.
If you have an AI idea — a chatbot, an automation, a vision system, or a model — message me with what you're trying to achieve and I'll tell you exactly how I'd build it.
Steps for completing your project
After purchasing the project, send requirements so Marwan can start the project.
Delivery time starts when Marwan receives requirements from you.
Marwan works on your project following the steps below.
Revisions may occur after the delivery date.
Build & validate your model
I clean and explore your data, engineer features, train and tune the model, validate honestly, and deliver reproducible code with an eval report.