Hi! I'm Elie Bruno 
I build systems at the intersection of software engineering and quantitative finance.
Introduction
I am a software engineer based in Lausanne, currently pursuing a Master's in Computer Science at EPFL after completing my Bachelor's there. I spent time at Qube Research & Technologies (QRT) as a Quantitative Analyst, where I developed and optimized data pipelines to process large-scale financial datasets supporting quantitative research and trading strategies. Before that, I worked at Proton as a Back-End Engineer, refactoring core systems for improved modularity and expanding test coverage across the codebase. I also served as a Teaching Assistant at EPFL, teaching C and Python to undergraduates. My interests lie at the intersection of quantitative finance, low-latency systems, cybersecurity, and reverse engineering. I enjoy understanding how systems work under the hood and building performant software that operates at scale.
Python, Java, C, PhP, SQL, Scala, JavaScript, React Js, Next Js
B.Sc in Computer Science & Mathematics
Participated in 4 different EU hackathons. Built > 5 personal projects
Tools I use
My portfolio
Welcome to my portfolio. Here are some of my latest projects. I am passionate about data analysis and financial markets.
Built a real-time computer vision pipeline to detect, classify, and count boats on a video stream using object detection models.
Developed a model to predict Tesla stock volatility in a team of 3, placing 7th out of 90 teams at the EPFL trading hackathon.
Connect with me
I'd love to hear from you. Whether you have a question or just want to say hi, feel free to send me a message.
