Tetrix
| Manhattan, New YorkSoftware Developer
Full-stack software engineer building trusted data infrastructure for private markets. Turning fund documents into traceable intelligence for capital allocators.
Full-stack software engineer building trusted data infrastructure for private markets. Turning fund documents into traceable intelligence for capital allocators.
Built much of the web application and the platform systems beneath it, through the scale-up from stealth to ~1,000 active users over a 2M+ component index.
Internal platform work for an electronics manufacturer -- making complex models readable to the domain experts who rely on them, and unifying login across six applications.
Built during National Service and deployed base-wide -- Flutter and Firebase, replacing manual status tracking for 1,000+ personnel.
Deep evidential regression applied to PINNs -- a way to tell when a prediction should not be trusted. Demonstrated on Burgers and Laplace.
ABSTRACTWe integrate a state-of-the-art method to quantify aleatoric and epistemic uncertainties in physics-informed neural networks and observe that they can be captured effectively while maintaining predictive accuracy.