Professional experiences
Projects
■ 04.2021 - Now ■ Data Scientist at Capgemini Invent
○ Projects about Generative AI:
Virtual assistant software for processing complex documents and reports.
Development of Qolmat, an open-source library for the imputation of tabular and time-series data using machine learning models and generative models.
Data augmentation to improve service evaluation and Quality evaluation of generated data in the project R&D MAPIE.
Generative models for synthetic designs with constraints and Quality evaluation of generated data in the project R&D SimAI.
○ Technical Keywords: Data Augmentation, Generative Models, Chatbot, Generative Adversarial Network, Variational Auto-Encoder, Diffusion Models, Transformers, Large Language Models, Trusted AI, Generative AI, NLP, Tabular Data, Time Series
○ Field: Automotive Industry, Airline Industry, R&D
■ 10.2017 - 02.2021 ■ Generative Probabilistic Alignment Models for Words and Subwords ○ NLP (Utility)
○ Doctoral Project: 3 years in Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI)
○ Technical Keywords: Low-resource Languages, Variational Auto-Encoder, Subword Tokenization, Expectation-Maximization, Hidden Markov Models, Convolutional Neural Networks, Long Short-Term Memory Networks, SentencePiece, Giza++, Fastalign, Tensorflow, Pytorch, Python, Slurm
■ 03.2017 - 09.2017 ■ Neural Machine Translation ○ NLP (Utility)
○ Internship: 6 months in Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI)
○ Technical Keywords: Generative Adversarial Network, Reinforcement Learning, Convolutional Neural Network, Recurrent Neural Network, Python
○ Github: GAN-NMT
■ 09.2016 - 11.2016 ■ Axa Data Challenge ○ Data Challenge of DaSciM
○ Scholarly Project: 3 months in École Polytechnique (X)
○ Technical Keywords: Concept Drift, Tree Regressors, Random Forest Regressors, Gradient boosting regressors, Autoregressive models, Python, Scikit-Learn, Anaconda
■ 01.2016 - 03.2016 ■ Brain MRI Segmentation ○ Software Development (Medical)
○ Internship: 3 months in Kyoto Institute of Technology (KIT)
○ Technical Keywords: C++, 3D Slicer, ITK
○ Youtube: Demo
■ 06.2015 - 08.2015 ■ Project KList ○ iOS Development (Entertainment)
○ Internship: 3 months in NinePoints Co. Ltd
○ Technical Keywords: Swift, ObjectiveC, Xcode, Realm, Alamofire
○ Appstore: Klist
■ 02.2015 – 06.2015 ■ Project 3D Movie ○ 3D Development (Entertainment)
○ Graduation Project: 4 months in Arena Multimedia Institute (AMI)
○ Technical Keywords: Maya 3D
○ Youtube: The Ant and The Grasshopper
Competences
■ Machine Learning
○ Convolutional Neural Networks, Recurrent Neural Networks, Variational Auto-Encoder, Generative Adversarial Networks, Diffusion Models
○Support Vector Machines, Back-propagation, Naive Bayes Classifier, Linear Regression, K-Nearest Neighbor, Decision Trees
○ Expectation-Maximization, DBSCAN, K-Means, Hierarchical Clustering
○ Boosting Algorithms, XGBoost, LightGBM
○Pytorch, Theano, TensorFlow, Scikit-Learn, LibSVM, Weka, MLFlow, FastAPI, Slurm, AWS, Google Cloud, Jupyter Lab, DeepNote
○ Transformers, Spacy, SentencePiece, Spark, Giza++, Fastalign, Simalign, Eflomal
■ Software development ○ Python, Scala, R, Matlab ○ Java (J2EE), C/C++, C# ○ OpenCV, Qt ○ Lisp, Prolog, Jess ○ Netbean, Eclipse, Visual Studio, Anaconda, Spyder
■ Mobile development ○ Objective C, Swift, React ○ iOS, Android ○ XCode, Android Studio
■ Web development ○ HTML5, CSS3, JavaScript ○ PHP ○ jQuery ○ Dreamweaver ○ Adobe Flash
■ Multimedia development ○ Illustrator, CorelDraw ○ InDesign ○ Photoshop, Lightroom ○ Premiere Pro, After Effects ○ 3ds Max, Maya 3D
■ DB Management ○ SQL ○ MySQL, Microsoft SQL Server ○ Microsoft Access
■ Architectural Design ○ UML