I bridge the gap between heavy scientific computing, backend data loops, and real-time interactive 3D simulations. Holding a Master’s degree in Physics, I design and automate high-performance frameworks that make intricate physical systems visible and verifiable.

• Systems & Simulation: Digital Twins, Monte Carlo Models, Data Pipelines
• Automation & Methodology: CI/CD Pipelines, Infrastructure Testing, V&V Frameworks, AI-Assisted Rapid Prototyping
• Core Ecosystem: Python, Julia, GDScript (Godot Engine), Linux, Git

A high-performance, multi-threaded Julia engine simulating stochastic Brownian molecular diffusion with external wind drift. Features an automated V&V test suite that mathematically validates empirical simulation data against analytical textbook truths before rendering.

A minimal, lightweight proof-of-concept framework demonstrating how to containerize and scale the 3D diffusion engine horizontally. Orchestrates parallel simulation workers to compute massive particle ensembles, aggregating distributed telemetry data into a central pipeline for real-time visual rendering.

A low-latency telemetry visualization pipeline syncing live Python simulation engines with interactive Godot 4 3D environments via lightweight UDP socket loops.

Building software infrastructure since 2012 and working as a Test Automation Engineer since 2020 across institutional research and laboratory environments.