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About me

Accomplished software developer with outstanding communication skills. Extensive experience in designing, developing, and maintaining custom software tools and solutions to streamline production workflows and enhance user efficiency. Outgoing personality perfectly suited for leading and collaborating with cross-functional teams to prioritize development efforts, and delivering impactful solutions. Natural problem solver.

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Nuke

Career

barbie

SDFX / Company3

Senior Software Developer (Pipeline)
2022 - 2024

I lead the development of a critical software solution used by over 1,000 artists across various departments, significantly improving production workflows and end user quality of life. My responsibilities included continuously integrating modern VFX technologies and techniques to improve our in-house systems and workflows, including AI tools. Working directly with the development teams of world-class, industry-standard softwares, we prioritized and implemented new tools and features tailored to my organization's needs.

Pictured: Barbie

westworld

Outpost VFX

Software Developer (Pipeline)
2021 - 2022

I ensured projects shipped on schedule by quickly resolving pipeline‑related technical issues, while cultivating strong relationships with Production, Supervisors, and Artists to keep communication seamless across departments. I also helped manage and optimize render‑farm throughput, boosting overall production efficiency.

Pictured: Westworld

dune

DNEG

Software Developer (Pipeline)
2019 - 2021

At DNEG, I focused on managing the color pipeline and spearheading stereo‑conversion workflows, ensuring that color grading remained accurate, consistent, and efficient across multiple film projects. I provided day‑to‑day technical guidance to Editors, partnered with R&D engineers and Senior Production Supervisors to design Python‑based tools and workflows tailored to stereo 3D needs, and continuously contributed to the evolution of DNEG’s production pipeline.

Pictured: Dune

Some of my Projects

weapon-detection

Weapon Detection

This project employs a Convolutional Neural Network (CNN) created using the Keras framework. The project's objective is to analyze video feeds and accurately identify the presence of firearms within them. The goal of the project was to enhance security systems by automatically alerting personnel to the presence of firearms in real-time video surveillance.

Github Repo
pedel

Pedel

A public domain library web app made with Vue.

Github Repo
sat-solver

SAT Solver

The Circuit Satisfiability problem (SAT) is the decision problem of determining whether a given Boolean circuit has an assignment of its inputs that makes the output True/False.

Github Repo
Montréal, QC

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