Building AI-native infrastructure for K-12 special education and healthcare.
I'm an executive and entrepreneur working across AI, healthcare, education, security, and longevity. With dual Master's degrees from UC Berkeley (Biomedical Engineering) and Ecole Centrale Paris / now CentraleSupélec (Machine Learning), I bridge cutting-edge research and real-world impact.
Currently serving as VP of Product & Engineering at Parallel Learning, where we're transforming how schools support students with learning differences.
| Company | Description |
|---|---|
| Parallel Learning | VP of Product & Engineering — Teletherapy for K-12 students with learning differences |
| Polygon | Co-Founder & CTO — Remote ADHD & dyslexia diagnostics ($4.2M raised) |
| CalAster | Co-Founder & CEO — AI-powered mental health solutions for first responders |
| Publication | Description |
|---|---|
| TDA for Arrhythmia Detection | Deep learning with TDA for ECG (Springer, ICANN 2020) |
| NIST Computer Vision Challenge | Phase 2 winner & "Best Assessment Data" (PSCR 2020) |
| Sleep Stage Classification | EEG signal processing for automated sleep analysis |
| ToMATo Clustering | Topological data analysis for robust clustering |
| Patent | Description |
|---|---|
| US12346791B2 | Persistent homology & autoencoders for ECG analysis |
| EP4075330A1 | Real-time manufacturing monitoring via CNN video analysis |
| LU102785B1 | ML-driven simulation for manufacturing systems |
Languages
Frontend
Backend
AI & ML
Data
Cloud & DevOps
Python Tooling
Node Tooling
Testing
Engineering
Product & Design
Communication
Sales & Support
People & HR
Finance & Legal
Security & IT
Data & Integration
Building products in healthcare and education requires rigorous data protection standards.
Building at the intersection of AI, healthcare, and education
📍 Las Vegas, NV