Building technology that transforms healthcare, education, and human potential.
I'm an engineer and entrepreneur leveraging AI to solve meaningful problems in healthcare, education, and crisis management. With dual Master's degrees from UC Berkeley (Biomedical Engineering) and CentraleSupélec (Machine Learning), I bridge the gap between 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.
Exploring the intersection of technology and human potential
📍 Las Vegas, NV