Open to opportunities

HAMZA ELOUAHDANI

@hamzaelouahdani

Message

Data Scientist building deployed ML and LLM/RAG systems with strong MLOps and measurable impact.

Morocco

Message

What I'm looking for

I’m looking for remote or full-time/contract roles where I can build and deploy end-to-end ML/LLM/RAG systems, strengthen MLOps on AWS, and deliver measurable impact—especially in health-tech, with practical, safety-aware AI.

I’m a Data Scientist with 3+ years of applied experience turning data into deployed, working AI systems. My core strength is machine learning, deep learning, and LLM/RAG applications, backed by an MLOps foundation built around AWS SageMaker, Docker, FastAPI, and CI/CD.

I build end-to-end—from data cleaning and feature engineering to model training, evaluation, and production deployment. In my work, I’ve delivered measurable results, including “40% faster deployment cycles” and “up to 18% accuracy gains,” with a focus on practical solutions across health-tech (and also EdTech and agriculture).

I’m also deeply focused on Arabic NLP and multilingual (AR/FR/EN) data, and I hold a “Certified AI Governance Professional (AIGP).” As a Founder & Lead Data Scientist, I designed a trilingual RAG platform with ChromaDB, FastAPI, Claude API, and full data pipelines; and I evaluate and benchmark LLM outputs for accuracy, reasoning, and safety.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist & AI Consultant

Current

Golden Agency

Developed machine learning models for end-to-end analytics tasks including classification, prediction, regression, and anomaly detection. Integrated Llama 2 and Claude API into LLM workflows for document analysis and automated report generation, and deployed solutions on AWS SageMaker with Docker and CI/CD.

Machine Learning Deep Learning Classification Prediction regression Anomaly Detection LLM RAG LLaMA 2 Claude Document Analysis Feature Engineering Time Series Modeling AWS Sagemaker Docker CI CD

Current

Data Scientist & AI Consultant

Current

Unik System

Built ML and deep learning models (CNNs and classical ML) for classification, prediction, regression, and anomaly detection across client datasets. Developed LLM-powered document analysis and automated reporting pipelines and deployed models to production on AWS SageMaker using Docker and CI/CD.

Machine Learning Deep Learning CNN Classification Prediction regression Anomaly Detection LLM RAG Document Analysis Prompt Engineering Feature Engineering Time Series Modeling AWS Sagemaker Docker fastAPI CI CD Monitoring

Current

Data Scientist & AI Consultant

Current

365World

Developed ML and deep learning solutions for supervised learning and anomaly detection using client datasets. Implemented LLM-powered pipelines with Llama 2 and Claude API for document analysis and automated report generation, and handled production deployment with AWS SageMaker, Docker, and CI/CD.

Machine Learning Deep Learning Classification Prediction regression Anomaly Detection LLM RAG LLaMA 2 Claude Document Analysis AWS Sagemaker Docker CI CD

Current

Data Scientist & AI Consultant

Current

Unimagin AI

Built ML and deep learning models for classification, prediction, regression, and anomaly detection over structured and unstructured datasets. Engineered feature engineering and preprocessing pipelines for time series/tabular data and deployed models to production using AWS SageMaker, Docker, and CI/CD.

Machine Learning Deep Learning Classification Prediction regression Anomaly Detection Feature Engineering data preprocessing Time Series Tabular AWS Sagemaker Docker CI CD Deployment Monitoring

Current

Data Scientist & AI Consultant

Current

Squalpo

Created machine learning and deep learning models for classification, prediction, regression, and anomaly detection across client data. Built and deployed LLM-assisted workflows (Llama 2 and Claude API) for document analysis and reporting, with production deployment on AWS SageMaker via Docker and CI/CD.

Machine Learning Deep Learning Classification Prediction regression Anomaly Detection LLM RAG LLaMA 2 Claude Document Analysis AWS Sagemaker Docker CI CD

AI Trainer & Evaluator

Turing

Evaluated and benchmarked LLM outputs (Claude, Gemini, ChatGPT, Manus) for accuracy, reasoning, and safety under a Google-commissioned model quality program.

LLM Evaluation Benchmarking Accuracy Assessment Claude

Founder & Lead Data Scientist

NeuroKine Pro AI

Designed and implemented a trilingual (AR/FR/EN) RAG platform using FastAPI and ChromaDB with Claude API, backed by a self-collected longitudinal dataset of 5,500+ labeled biometric records. Built predictive modeling with Random Forest and LSTM and delivered an end-to-end data pipeline from collection to inference.