
Papagal
High-performance native macOS database & data viewer engineered with Swift, AppKit, and MetalKit GPU shaders. Sub-50ms cold launch, ~38MB idle memory, and universal viewing for SQLite, Parquet, Excel, CSV, TSV, and JSON.
Studying Computer Science at EPFL in Switzerland, originally from Montréal. Focused on modern web architecture, machine learning, and high-performance software engineering.
Technical capabilities across the full engineering stack.
Pixel-perfect, high-performance web experiences built with Next.js, React, modern state management, and silky kinetic animations.
Robust API services, machine learning models, database modeling, and low-level system programming with C/C++ and CUDA.
CI/CD pipelines, automated testing, cloud deployments on Vercel & GCP, and developer tooling for seamless releases.

High-performance native macOS database & data viewer engineered with Swift, AppKit, and MetalKit GPU shaders. Sub-50ms cold launch, ~38MB idle memory, and universal viewing for SQLite, Parquet, Excel, CSV, TSV, and JSON.

Web creation agency helping small businesses grow their online presence and get more customers.

Automated signal prediction using PyTorch/TensorFlow with MPS/CUDA acceleration.
Fluid Simulation with GPU rendering, using Navier-Strokes Equations
Classic Pong clone written in C/C++ using SDL3.

Experimented embedded development with ESP-IDF and FreeRTOS; sensors, peripherals, and IoT prototypes.