👋 Hi, I’m David

I’m an ML developer with a medical-imaging background who loves trying new projects in different domains—especially finance. On GitHub Sponsors, I’m exploring machine learning and deep learning in finance for educational purposes and building meaningful, well-documented tools anyone can learn from and reuse.

I work on these projects in my free time out of passion. The techniques I explore in finance (feature engineering, forecasting, anomaly detection) help me converge methods across domains and improve prediction workflows in the medical space.

Why sponsor?

• Fund experiments, small datasets, and compute runs
• Support clean docs, examples, and reproducible notebooks
• Enable cross-domain adaptations that benefit both finance and healthcare

What to expect

• 📦 Open, reproducible projects and tutorials
• 📊 Transparent experiment logs and benchmarks
• 🔁 Techniques ported across domains (finance ↔ medical)
• 🧪 Curious, hands-on exploration with clear takeaways

Current focus

• Time-series forecasting and evaluation
• Feature engineering for market data
• Anomaly and regime detection
• Practical baselines and ablations

If you’re excited about practical, educational ML in finance—and its positive spillover into healthcare analytics—consider sponsoring. Let’s learn, build, and share better tools together.

— David

LinkedIn