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Over mij
I'm a machine learning engineer focused on building practical, working models — not just theory. I've built image classifiers, sentiment analyzers, and prediction models using Python, fastai, PyTorch, and XGBoost — all documented and live on GitHub.
My projects include a bike brand classifier with 1.8% error rate, a hairstyle classifier a DistilBERT sentiment analyzer fine-tuned on IMDB, and an XGBoost house price predictor placed on Kaggle.
I'm available, responsive, and communicate clearly throughout the project. I deliver clean, documented code and I take the work seriously.
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