You will get expert AI/ML engineering from data to deployment
Rising Talent
Project details
I build production-ready AI systems powered by LLMs, RAG pipelines, and multi-agent architectures. My flagship project is a Legal RAG System that answers complex legal questions across EU, German, and French law using GPT-4o, FAISS vector search, and LangChain agents evaluated with RAGAS scoring 95%+ faithfulness.
What sets my work apart: I don't just prototype I deliver clean, documented, deployable code with real evaluation metrics. Every system I build is tested, explainable, and built for real-world use.
Services I offer: RAG systems, AI chatbots, NLP pipelines, data analysis, ML models, and LLM integrations using Python, LangChain, OpenAI, HuggingFace, FAISS, Streamlit, and FastAPI.
What sets my work apart: I don't just prototype I deliver clean, documented, deployable code with real evaluation metrics. Every system I build is tested, explainable, and built for real-world use.
Services I offer: RAG systems, AI chatbots, NLP pipelines, data analysis, ML models, and LLM integrations using Python, LangChain, OpenAI, HuggingFace, FAISS, Streamlit, and FastAPI.
Machine Learning Tools
BERT, BigDL, Databricks Platform, GitHub Copilot, Google Data Studio, MLflow, NLTK, NumPy, OpenCV, pandas, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 3 days | 9 days | 19 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
(+ 1 Day)
+$25
Model Documentation
(+ 1 Day)
+$50About Noor
AI & Machine Learning | Data Science, Machine Learning, TensorFlow
Naples, Italy - 7:52 am local time
My work spans the full ML spectrum: NLP pipelines, computer vision models, RAG systems, time-series forecasting, fleet anomaly detection, and LLM integration. I've led engineering teams, translated messy business problems into clean ML solutions, and handed off systems that kept running after I left.
A few things I've built:
° Clinical NLP pipeline: PHI de-identification, BioNLP NER, SOAP note generation, ICD-10 auto-coding via RAG
° Legal RAG system: intelligent document Q&A with 94%+ answer relevance using FAISS + GPT-4
° Fleet anomaly detection: real-time models over telematics data from thousands of connected vehicles
° Environmental monitoring: deep learning models (CNNs + LSTMs) for pattern recognition in sensor data
° Software risk assessment: ensemble ML classifiers predicting project failure with 12%+ accuracy gain over baseline
° Annual climate forecasting: ARIMA and Random Forest models on multi-decade meteorological datasets
If you need someone who asks the right questions before writing a single line of code, I'm your person.
Steps for completing your project
After purchasing the project, send requirements so Noor can start the project.
Delivery time starts when Noor receives requirements from you.
Noor works on your project following the steps below.
Revisions may occur after the delivery date.
Overview of project
I review your project brief, analyze your data or documents, and confirm the technical approach and timeline before starting.
Architecture Design
I design the system architecture (models, pipeline, tools) and share a clear plan for your approval.