I'm an AI/ML engineer with an MSc in Computer Engineering (AI & Robotics). I turn your data into a working machine learning model, and I explain why it makes each prediction, so you're never stuck with a black box.
What you get:
• A trained ML model for your task, classification, regression, or prediction
• Clean, commented Python code (scikit-learn / PyTorch) you can reuse
• Proper evaluation: accuracy, precision/recall, confusion matrix, no vanity metrics
• Explainability report (SHAP / LIME) showing which features drive the results
• A short written summary of findings in plain language
I also handle: data cleaning, feature engineering, and visualization if your data isn't model-ready yet.
Why me:
• Peer-reviewed research author in explainable ML
• Clear communication, on-time delivery, free revisions until it works as agreed
How it works: send me your dataset and your goal. I confirm scope, price, and timeline before we start, no surprises.
Let's turn your data into decisions you can trust.
