Open to opportunities

Wail Achalhi

@wailachalhi

Message

I build production-ready machine learning, forecasting, and RAG systems with Python, PyTorch, and MLflow.

Spain

Message

What I'm looking for

I'm looking for a machine learning or AI engineering role where I can build and deploy production ML, forecasting, and LLM/RAG systems in a remote, hybrid, or on-site environment.

At Solver Intelligent Analytics, I built and deployed machine learning pipelines for energy and retail clients, including electricity-price forecasting and promotional-impact analysis across 74 million records.

I refactored forecasting workflows to reach a 3.22 validation MAE and integrated MLflow for experiment tracking, configurable training, and production reproducibility. For Consum, I developed a multi-factor OLS pipeline that achieved R² scores of 0.80 and 0.78 on key segments, while automating outputs, Plotly visualizations, and Word reports.

I also build end-to-end AI products, from DocuAsist, a full-stack RAG system that identified Workers’ Statute violations in Spanish employment contracts, to PyTorch implementations of Transformer components, fraud detection, Vision Transformer fine-tuning, and local voice assistants.

Experience

Work history, roles, and key accomplishments

ML Engineer Intern

Solver Intelligent Analytics

Feb 2026 - May 2026 (3 months)

Developed and deployed machine learning pipelines for energy and retail clients, including electricity-price forecasting and promotional-impact analysis. Refactored training pipelines, integrated MLflow for experiment tracking, and built a multi-factor OLS model over 74 million rows.