I build backend systems, cloud workflows, and machine learning tools that solve practical problems. I enjoy working on scalable architectures, automation, and intelligent applications.
- Work across full-stack, ML, and data engineering
- Comfortable with cloud infrastructure and DevOps
- Strong interest in security, networking, and distributed systems
- Open to OSS contributions and collaborations
- 1st Place — National Round, Huawei ICT Competition
- 3rd Place — Global Final, Huawei ICT Competition
| Credit Risk Engine | Insurance Premium Optimizer |
|---|---|
 |  |
| Deployment: An end-to-end pipeline for automating borrower reliability assessments and credit scoring. | Analytics: Statistical modeling of AlphaCare (SA) historical data to optimize premiums and risk segmentation. |
🛠️ MLOps Scikit-Learn Docker Python | 🛠️ XGBoost Statistical Inference EDA |
| 📂 View Repository | 📂 View Repository |
| Fintech Market Intelligence | Fraud Detection System |
|---|---|
 |  |
| NLP: Comparative sentiment analysis for CBE, BOA, and Dashen Bank apps to drive data-led UX strategies. | Security: Real-time fraud detection for e-commerce using explainable AI (SHAP) and MLflow tracking. |
🛠️ NLP Sentiment Analysis Pandas | 🛠️ MLflow XGBoost SHAP Sklearn |
| 📂 View Repository | 📂 View Repository |
Financial Data Science • Predictive Modeling • ML Automation • Fintech Analytics • Explainable AI
Explore more → tibebk.com
“Code is like humor. When you try to explain it, it loses its spark.”