Summary

I love innovation.
I’m a Computer Science graduate from Université de Montréal interested in building products at the intersection of technology, AI, and business.
Most recently, I completed an eight-month software development internship at Bombardier, where I worked on an internal web platform using C#, ASP.NET MVC, JavaScript, and SQL Server. Beyond development, the experience exposed me to product modernization, technical decision-making, user needs, and the realities of building software within a large organization.
Previously, I worked as a Data Analyst at TELUS Digital on Apple Search and supported more than 190 students as a Teaching Assistant. Across these experiences, I discovered that I’m particularly drawn to problems that sit between disciplines: understanding a complex need, figuring out what can be built, and turning an idea into something useful.
Hiking the hills with friends
Sketching out rough concepts
Sketching out rough concepts

Biography

I started building things early. At 13, in 2010, I was running an online game server and community, experimenting with virtual stores and online payments. By 16, I was working as a CAD Technologist and Programmer. These early experiences introduced me to entrepreneurship, autonomy, and, most importantly, the satisfaction of creating something that other people actually used.

I became fascinated by the forces shaping technology and the world around it. I followed developments such as Bitcoin’s early rise, the growing technological competition between the United States and China, and Meta’s ambitious bet on virtual and augmented reality. These events strengthened my interest in understanding not only how technology works, but also how it interacts with business, markets, institutions, and society.

My academic path evolved alongside these interests. I initially considered bioinformatics as I was fascinated by scientific research and what advances in technology and science could make possible. I explored different fields and realized that mathematics was one of my strongest aptitudes among the core sciences, particularly compared with physics, biology, and chemistry. Much of my mathematical background was developed independently, before the emergence of modern generative AI tools, which ultimately led me to begin university in Mathematics and Computer Science with a focus on Data Science.

I valued the quantitative depth of Data Science, but gradually realized that my interests extended beyond technical specialization. I became increasingly interested in products, business, and the decisions behind what gets built and why. I therefore transitioned to Computer Science at Université de Montréal, building a broader technical foundation while moving closer to product development.

Throughout university, I gained experience across software development, data analysis, and teaching while receiving several scholarships and awards. My experience at Bombardier was especially formative. Working on an internal product showed me how much I enjoy connecting technical possibilities with user needs, business constraints, and execution.

Outside of technology, I speak French, English, and Spanish and am learning Portuguese. I’m interested in global cultures, the arts, and reading, and I enjoy exploring ideas beyond my technical field.

Ultimately, my goal is simple: to get closer to innovation. I want to work where emerging technologies, ambitious ideas, and real-world needs come together — building products with AI and technology and helping turn what is possible into something people can actually use.

I started building things early. At 13, in 2010, I was running an online game server and community, experimenting with virtual stores and online payments. By 16, I was working as a CAD Technologist and Programmer. These early experiences introduced me to entrepreneurship, autonomy, and, most importantly, the satisfaction of creating something that other people actually used.

I became fascinated by the forces shaping technology and the world around it. I followed developments such as Bitcoin’s early rise, the growing technological competition between the United States and China, and Meta’s ambitious bet on virtual and augmented reality. These events strengthened my interest in understanding not only how technology works, but also how it interacts with business, markets, institutions, and society.

My academic path evolved alongside these interests. I initially considered bioinformatics as I was fascinated by scientific research and what advances in technology and science could make possible. I explored different fields and realized that mathematics was one of my strongest aptitudes among the core sciences, particularly compared with physics, biology, and chemistry. Much of my mathematical background was developed independently, before the emergence of modern generative AI tools, which ultimately led me to begin university in Mathematics and Computer Science with a focus on Data Science.

I valued the quantitative depth of Data Science, but gradually realized that my interests extended beyond technical specialization. I became increasingly interested in products, business, and the decisions behind what gets built and why. I therefore transitioned to Computer Science at Université de Montréal, building a broader technical foundation while moving closer to product development.

Throughout university, I gained experience across software development, data analysis, and teaching while receiving several scholarships and awards. My experience at Bombardier was especially formative. Working on an internal product showed me how much I enjoy connecting technical possibilities with user needs, business constraints, and execution.

Outside of technology, I speak French, English, and Spanish and am learning Portuguese. I’m interested in global cultures, the arts, and reading, and I enjoy exploring ideas beyond my technical field.

Ultimately, my goal is simple: to get closer to innovation. I want to work where emerging technologies, ambitious ideas, and real-world needs come together — building products with AI and technology and helping turn what is possible into something people can actually use.


Experience

Bombardier

Developer Intern

2026

TELUS Digital

Data Analyst

2023 → 2024

University of Montreal

Teaching Assistant

2023

"Cogito, ergo sum" — Descartes

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