Leonardo Aoun

Travelling Codesman

Facebook

Biography

A software engineer constantly on the run.

I lived in 8 regions across 3 continents in the last 3 years which taught me to be a sociable and open-minded person. Inspired by science and always eager to discover and invent.

Interests

Extended Reality
Artificial Intelligence
Decentralized Systems

Education

Master's in Computer Science, 2020

Ecole Polytechnique Fédérale de Lausanne
Exchange Program in Computer Engineering, 2017

University of Washington
Bachelor's in Computer Science, 2017

Ecole Polytechnique Fédérale de Lausanne

Experience

Software Engineer

Facebook

May 2020 – Present London, UK

CTO

Angele

Mar 2020 – May 2020 Remote

Built the first product of a silvertech startup aiming to connect elderly with their support sphere using a voice assistant
Designed the architecture of the platform and concoted the roadmap of the tech team

Machine Learning Intern

Astroscreen

Sep 2019 – Dec 2019 Remote

Finalized my MSc Thesis titled ‘Read Between the Tweets - A Context based Approach for Fake News Classification’
Reviewed state-of-the-art approaches for Geometric Deep Learning
Implemented Graph Neural Networks models on Twitter datasets

Applied Science Intern

Amazon

May 2019 – Aug 2019 Berlin, DE

Experimented with various deep learning techniques for 3D reconstruction of meshes from 2D images
Initiated a social integration program for summer interns

Full-Stack Engineering Intern

Facebook AI Research

Jan 2019 – Apr 2019 New York, NY

Developed full stack internal tools to increase awareness and discoverability of research advancements
Experimented with the deployment of topic modeling to cluster and recommend research publications

Software Engineering Intern

Facebook

Jun 2018 – Sep 2018 London, UK

Built static verficiation tools in Hacklang that ran on more than 10,000 database schemas to prevent data misuse in the codebase
Set up a routine job on Hive and Dataswarm to analyze anomalies
Found heuristics to recommend possible solutions to the unsafe schemas’ maintainers

Research Engineering Intern

Adobe Research

Jun 2017 – Sep 2017 San Jose, CA

Contributed to possible improvement of Adobe Research’s compute cluster by benchmarking the performance of machine learning jobs on internal GPUs and cloud computing alternatives
Created a platform where scientists upload their Docker containers to have Apache Mesos & Marathon handle their neural network trainings
Provided a cost- performance comparison of cloud solutions vs. local hosting
Organized a social activities program for summer interns with a team of 5 employees