flagship
MLOps Governance Dashboard
Monitoring, drift (PSI/KS), data quality, audit events, and governance-oriented MLOps workflows.
- monitoring
- data drift
- PSI
- KS
- data quality
- audit
- alerting
- observability
- MLOps
Projects are tiered on purpose. Flagships carry deep evidence; supporting and archive show breadth and evolution.
flagship
Monitoring, drift (PSI/KS), data quality, audit events, and governance-oriented MLOps workflows.
flagship
Healthcare AI stewardship prototype using FHIR context, MCP tools, and A2A/ADK agent concepts — research/hackathon framing, not a production clinical system.
Security ML / explainability study with a verified public project report. Not production malware infrastructure.
supporting
Test-backed codemod workflow for mechanical web3.py v6 → v7 migrations with optional AI follow-up.
supporting
ML fraud-detection project with public artifacts.
supporting
Applied EV market-data analysis using public notebooks/data.
archive
Earlier computer-vision experiment — evolution evidence, not a flagship interaction.
archive
PDF data extraction experiment — archive/evolution evidence.
archive
Android park locator using public park and maps APIs — archive evidence.
archive
Early full-stack clone project — archive/evolution evidence.