Team MIND (Models and Inference for Neuroimaging Data).Joint INRIA and CEA team.Working on Deep Learning for MRI acquisition and reconstruction for ultra-high resolution 11.7T scans.

- Building a Real-time ETL sentiment analysis pipeline on stock news (e.g. quarterly reports) using Kafka, Spark, MongoDB, Airflow and Docker.- Implementation of an economic calendar events (e.g. FED interest rates, GDP, tradebalance) impact predictive model using dynamic model selection on financial market (Forex).- Implementation of an arbitrage Python’s program across 4 different crypto-exchanges usingWebsocket APIs and threading.

Neuroimaging and Reconstruction Group• Working on accelerated Multi-coils Magnetic Resonance reconstruction (Parallel Imaging) using Deep Learning approaches.Technologies: Python, PyTorch, C++Keywords: Deep Learning, MRI, Reconstruction, Inverse Problems, Software Engineering, Image Processing and Analysis

Working in Neuroimaging and Reconstruction Group - Master end-of-studies internship• Develop robust 3D Deep Learning models for brain segmentation in Magnetic Resonance Neuroimaging focusing researches on resolution variability (isotropic and anisotropic problems). • Define a preprocessing pipeline in Python for brain MRIs including bias field correction, intensity normalization using approximated tissue intensity distributions, skull stripping and tissue segmentation.Technologies: Python, PyTorch, C++, BashFields: Computer Vision, Deep Learning, Machine Learning, Medical Images, Software Engineering

Helping 1st year students on Maths and Algorithms during the AFIT (Arithmetic for IT) project which has for aim to build first standard ciphering algorithms: main aim being RSA and ElGamal cryptosystems.

This was a 4 months internship inside the Web Department of Brainsonic.My main missions were:- Implementing a multi-channel generic chatbot targeting Skype, Facebook and MS Teams.> Core features (dialogs architecture, database, tools, ...)> Integration of Microsoft LUIS: natural language recognition> Setup a control center with a dashboard (conversations, message sender tool, ...)- Missions done with the chatbot:> R&D project: a chatbot for the Human Resource department of Brainsonic (employees can interact with it to get informations or ask questions such as: "I'm sick, what should I do ?", "How many paid personal days do I have left ?", ...)> Customer project: a chatbot for a game contest on Facebook (pick up user's informations, send images to a FTP server)Technologies: Node.JS, Microsoft BotBuilder, Microsoft LUIS, Heroku, PHP Symfony, Doctrine, PgSQLSide customer project done at the beginning of the intership:- Implementing a tracking module of customer's websites instantiated around the world> Building an API with two endpoints: register/update> Writing PHP scripts to get and send website's settings to 'The Central'.> Setup of a web dashboard to visualize all websites with their settings.Technologies: PHP, Symfony Framework, Doctrine, Heroku, PgSQL

Implementing new features for the new version of the Blue Eye Suite by MRX Systems. (Generation of unique QR Code, Creation of actions and two dashboards)Use of User Controls, View Controllers and Business Objects (Dashboard) with XAF (DevExpress) and C#.Creation of an automatic QR Code reader using the PC camera.Tech: ASP.NET, DevExpress and Azure