muhammed-keita-ml/ml-engineering-portfolio
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Muhammed Keita — ML Systems Engineer
FinTech ML · Production Monitoring · Fraud Detection · AWS · Kubernetes · MLOps
Production ML systems built for reliability after deployment. Domain focus: FinTech and financial services — where model failure has a measurable cost.
Projects
Key Results
Research Orientation
Current focus: concept drift × class imbalance × model degradation in real-time fraud detection systems.
Project 06 finding: 6 of 13 experiment configurations produced Recall@P90 = 0 despite acceptable F1 scores — proving standard evaluation metrics hide operationally unusable models under extreme class imbalance. This is the empirical finding that drives Project 08.
Certifications
Links
- GitHub: https://github.com/muhammed-keita-ml
- Live Fraud API: http://108.128.140.230:8000/docs
- LinkedIn: https://linkedin.com/in/muhammed-keita
- DagsHub: https://dagshub.com/muhammed-keita-ml
- Medium: https://medium.com/@mkeitaone
