Open to opportunities

zane Kun

@zanekun

Message

I'm a machine learning engineer building and deploying diagnostic-focused models.

Algeria

Message

What I'm looking for

I'm looking for a machine learning role where I can build and deploy models across tabular, text, and vision data, investigate model failure modes, and grow through hands-on applied ML work.

I've built end-to-end machine learning projects across freight-rate forecasting, salary prediction, weld defect detection, and image classification. At DecodeLabs, I delivered a rule-based conversational agent, a KNN multiclass classifier, and a TF-IDF content recommender.

My work focuses on finding why models underperform: I improved freight-rate MAE from $150.88 to $106.92, raised scene-classification accuracy from 87% to 93% with ResNet18 fine-tuning, and deployed image models as FastAPI endpoints. I work across tabular, text, and vision data using PyTorch, scikit-learn, LightGBM, XGBoost, and YOLOv8.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

DecodeLabs

Jul 2026 - Aug 2026 (1 month)

Delivered three projects across the internship track: a rule-based conversational agent, a KNN multi-class classifier validated with cross-validation, and a content-based recommender built on TF-IDF and cosine similarity.

Python K NN TF IDF Cosine Similarity Cross Validation Recommenders