Data Scientist · ML Engineer
Flagship systems across experimentation, ranking, recsys, biomedical signals, and document AI
I build integrated DS / AIML systems — shared simulators, evaluation harnesses, causal and off-policy methods, and decision layers — not isolated notebook demos.
| Project | What it integrates | |
|---|---|---|
| 🏪 | marketplace-brain | Marketplace sim · LTR · causal promo · fraud graph · OPE · experiments |
| 🫀 | clinical-signal-copilot | SSL signals · detection · conformal risk · fairness (research-only) |
| 📄 | doc-intel-factory | Extraction · RAG+eval · active learning · feedback OPE |
| Project | Highlight | |
|---|---|---|
| 🧪 | experimentation-lab | A/B · CUPED · sequential testing · SRM |
| 🔎 | ltr-ranker-lab | Listwise LTR · position bias · IPS |
| 🎯 | recsys-ope-lab | Retrieval · ranking · IPS / SNIPS / DR |
- Ocean-Eye — maritime SAR/AIS forensics dashboard
- FetalSense — SSL Transformer for fetal ECG / QRS
- customer-churn-ml — churn · SHAP · Streamlit
- causal-uplift-lab · rag-eval-lab · graph-fraud-detector
Pin tip: pin the three Flagships + experimentation-lab + Ocean-Eye + FetalSense.