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Elie Bruno, software engineer

Hi! I'm Elie Brunowaving hand

Software engineer based in Lausanne, building fast systems for financial markets.

Master's student in Computer Science at EPFL and incoming Software Engineer Intern at Citadel. Previously at Qube Research & Technologies and Proton.

Introduction

About me

Elie Bruno

I'm a software engineer based in Lausanne, pursuing a Master's in Computer Science at EPFL after completing my Bachelor's there. At Qube Research & Technologies I worked as a Quantitative Analyst, building and optimizing pipelines that process large-scale financial datasets for quantitative research and trading strategies. Before that, I was a Back-End Engineer at Proton, refactoring core systems for modularity and expanding test coverage across the codebase.

My interests sit at the intersection of quantitative finance, low-latency systems, cybersecurity, and reverse engineering. I like understanding how things work under the hood — and building software that holds up at scale. Alongside my studies, I manage a live investment portfolio in the University of Zurich's Portfolio Management Program, and I'll be joining Citadel as a Software Engineer Intern in summer 2026.

Where I've worked

  • Citadel

    Software Engineer Intern (incoming, Summer 2026)

  • Qube Research & Technologies

    Quantitative Analyst Intern (2025)

  • Proton

    Associate Back-End Engineer (2024)

  • EPFL

    Teaching Assistant — C & Python (2024–present)

Where I've studied

  • EPFL

    M.Sc. Computer Science (2025–present)

  • University of Zurich

    Portfolio Management Program — Quantitative Finance Track (2025–26)

  • Instituto Superior Técnico, Lisbon

    M.Sc. year, Computer Science & Engineering (2024–25)

  • EPFL

    B.Sc. Computer Science (2022–25)

Things I work with

  • Python
  • TypeScript
  • Java
  • C
  • SQL
  • Polars
  • PyArrow
  • AWS
  • Docker
  • Kubernetes
  • Argo Workflows
  • React

My portfolio

My latest work

Hackathons, coursework, and side projects — mostly around markets, data, and systems.

Evidence-Based Policy RAG

Evidence-Based Policy RAG

End-to-end RAG system for innovation-policy research — multimodal PDF parsing, hybrid FAISS retrieval with reranking, and a bilingual Next.js frontend with traceable citations.

  • RAG
  • LLM
  • FAISS
Agentic Admission

Agentic Admission

Multi-agent LLM panel emulating EPFL’s MTE admission committee — four specialist evaluators and a Chair, calibrated on six years of verdicts, reaching 82% agreement with the committee.

  • Multi-Agent
  • LLM Evals
  • Python
Moodle MCP

Moodle MCP

MCP server and CLI for Moodle LMS — course data, deadlines, grades, and assignment submission, with pluggable SSO token refresh via Playwright.

  • MCP
  • Python
  • CLI

Built with Franklin Tranié

Vitol Hackathon

Vitol Hackathon

Built a real-time computer vision pipeline to detect, classify, and count boats on a video stream using object detection models.

  • Computer Vision
  • Real-Time
Optiver Hackathon

Optiver Hackathon

Developed a model to predict Tesla stock volatility in a team of 3, placing 7th out of 90 teams at the EPFL trading hackathon.

  • Volatility Modeling
  • Python
Flight Tracker

Flight Tracker

Java application for real-time global flight tracking using ADS-B signal demodulation and a JavaFX interactive map.

  • Java
  • ADS-B
  • Signal Processing
Photography Portfolio

Photography Portfolio

Designed and built a personal photography portfolio showcasing event and racing photography.

  • Design
  • Web
SecureRide Shield

SecureRide Shield

GDPR-compliant smart car management system with multi-user end-to-end encryption, built at IST Lisbon.

  • Security
  • E2E Encryption
Netflix Content Analysis

Netflix Content Analysis

Interactive data visualization project exploring the growth, trends, and geographic distribution of Netflix content over time.

  • Data Visualization

Connect with me

Get in touch

Whether you have a question, a project in mind, or just want to say hi — my inbox is open.

[email protected]