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 | Role | Focus |
|---|---|---|
| Parallel Learning | VP of Product & Engineering | Teletherapy platform empowering K-12 students with learning differences |
| Polygon | Co-Founder & CTO | Remote diagnostics for ADHD, dyslexia & learning differences — raised $4.2M |
| CalAster | Co-Founder & CEO | AI-powered mental health solutions for first responders |
- Topological Data Analysis for Arrhythmia Detection — Novel deep learning approach using TDA for ECG classification (Springer, ICANN 2020)
- NIST Computer Vision Challenge — Phase 2 winner & "Best Assessment Data" award at NIST PSCR 2020
- Sleep Stage Classification with ML — EEG signal processing and automated sleep analysis
- ToMATo Clustering — Topological data analysis for robust clustering
- US12346791B2 — Abnormality determination using persistent homology & autoencoders for ECG analysis
- EP4075330A1 — Real-time manufacturing monitoring via CNN-based video analysis
- LU102785B1 — ML-driven simulation process 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