Open to opportunities

Hamza Touirs

@hamzatouirs

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AI / Generative AI engineer building LLM-powered RAG systems with robust evaluation and deployment.

Morocco

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What I'm looking for

I’m looking for a role where I can build LLM-powered RAG and document intelligence systems, partner with engineers and stakeholders, and own the full workflow—pipelines, evaluation/observability, and production deployment.

I’m an AI / Generative AI Engineer with hands-on experience developing LLM-powered applications and Retrieval-Augmented Generation (RAG) systems, from ingestion and semantic retrieval to evaluation, observability, and deployment. I focus on translating business and operational requirements into practical AI solutions that teams can rely on.

In my recent work, I developed AI applications and machine learning solutions for industrial energy systems using Python and SCADA data, building data acquisition, ETL, and time-series pipelines for forecasting and analytics. I’ve also delivered end-to-end document intelligence solutions like an Electrical RAG Assistant—covering OCR fallback, multilingual embeddings, hybrid semantic search, source-cited answers, and FastAPI services with LLM evaluation and monitoring workflows.

Experience

Work history, roles, and key accomplishments

Current

AI Software Engineer

Current

Meier Energy

Jan 2025 - Present (1 year 6 months)

Developed AI applications and machine learning solutions for industrial energy systems using Python, SCADA data, and operational monitoring. Built data acquisition/ETL and time-series pipelines, and developed/evaluated forecasting models with H2O AutoML, TensorFlow, and scikit-learn using Airflow and MLflow.

Python SCADA Data Acquisition ETL Time Series Forecasting Machine Learning AutoML TensorFlow scikit learn Airflow MLFlow Desktop Applications API Integration Data Visualization Monitoring

Computer Vision Intern

Hexcel

Feb 2024 - Jun 2024 (4 months)

Developed computer vision pipelines for manufacturing inspection, including training and evaluation workflows. Improved model robustness through preprocessing, augmentation, and annotation/dataset quality enhancements, supporting automated inspection and geometry-based quality control analysis.

Computer Vision YOLOv8 Mask RCNNs OpenCV TensorFlow PyTorch Data Quality Geometries Analysis

Data Science Intern

SOPHATEL

Jul 2023 - Aug 2023 (1 month)

Developed forecasting models using historical pharmaceutical demand data to support inventory planning and purchasing decisions. Evaluated ARIMA, SARIMA, SARIMAX, Prophet, and LSTM approaches using forecasting metrics and validation strategies.

ARIMA SARIMA Prophet Model Evaluation Validation