Projects
I'm interested in using machine learning algorithms to solve challenging real-world problems. In Natural Language Understanding, I want to understand how to make computers learn complex new problems from relatively few examples.
Key areas of interest include deep learning, meta learning, probabilistic graphical models, and reinforcement learning.
I usually publish my projects on Github and some of them are discussed in the blog section below in the page.
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École Normale Supérieure Paris-Saclay
M.S. in Applied Mathematics - MVA - Mathématiques, Vision, Apprentissage - M2, September 2018 - August 2019
ML: Statistical Learning, Reinforcement Learning, Convex Optimization, Probabilistic Graphical Models, Kernel Methods, Deep Learning, Face à la malédiction de la dimensionnalité
Data/Modeling: ML for text and graph data, Object recognition and Computer Vision, Audio signal processing
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École Polytechnique
Diplôme d'Ingénieur, M.S. in Data Science - M1, January 2015 - August 2017
Graduate coursework: Machine Learning, Computer Vision, Natural Language Processing, Database Management Systems, Topological Data Analysis
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Instituto Tecnológico de Aeronáutica
B.S. in Computer Engineering, first 2 years, February 2013 - December 2014
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Experience
In 2017-2018, I took a sabbatical year to do internships in quantitative fields at J.P.Morgan and Destygo. Before that, I had worked as software engineer at Amazon and Keyrus for 5 and 3 months, respectively.
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Destygo - Chatbots for travel companies
Data Science Intern, March 2018 - August 2018
Key machine learning areas: intent classification, named entity recognition, word and sentence embeddings, data programming
Key technical skills: Python, TensorFlow, Keras, Flask, PostgreSQL, Ruby on Rails
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J.P.Morgan
Quantitative Research Intern, September 2017 - December 2017
Key areas: time series analysis, unsupervised learning, Corporate bonds and Credit Default Swaps
Key technical skills: Python, Statsmodels, PostgreSQL
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Amazon
Software Development Engineer Intern, March 2017 - August 2017
Key areas: web development, resource automation
Key technical skills: Java, Spring, Ruby on Rails, DynamoDB
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Keyrus
Software Development Intern, June 2016 - August 2016
Key areas: data engineering, machine learning as a service
Key technical skills: Python, Scala, Spark
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Competitions
I have long participated in competitions that made me learn more about interesting areas and pushed me to go further than basic understanding. In particular, I have competed in Mathematics Olympiads in high school and as undergraduate, as well as in Algorithms and Programming competitions, achieving some very good results.
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Google Code Jam
Top 1%, 221st place, 2017
Google Code Jam is an international programming competition in which each round consists of a set of algorithmic problems
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Southwestern Europe Regional Contest (SWERC)
18th place, 2016, 32nd place, 2015
SWERC is a 5-hour on-site programming contest for teams of three students (see regulations), focused on algorithmic problem solving and practical coding. It is open to teams from France, Israel, Italy, Portugal, Spain, and Switzerland
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International Mathematics Competition for University Students (IMC)
First Prizes (Gold medals), 2013 and 2014
The IMC is an annual mathematics competition open to all undergraduate students of mathematics, organized by University College London usually taking place in Blagoevgrad, Bulgaria
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International Mathematical Olympiad (IMO)
Silver medal, 2011, Bronze medal 2012
The International Mathematical Olympiad (IMO) is the World Championship Mathematics Competition for High School students and is held annually in a different country. The first IMO was held in 1959 in Romania, with 7 countries participating. It has gradually expanded to over 100 countries from 5 continents.
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