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Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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ne1baf/README.md

Hi 👋 My name is Fabien

  • 🌍  I'm based in Paris, France 🇫🇷
  • 📈  Currently helping restaurants grow using their data
  • 💼  I'm a Machine Learning Engineer
  • 🎓  Master's Degree in CS, MS thesis in Research AI
  • 👨🏻‍💻  I do some Full Stack Dev and DevOps as well!

Socials

ML Engineer currently working on developing business solutions for restaurants using Artificial Intelligence at Soufflé. Love to challenge myself with new problems and eager to bring solutions

• Master's degree in Artificial Intelligence

• Trained, Tested, Benchmarked, Deployed and Monitored ML Models

• Master Thesis in NLP: Apprehending the difficulty of Sentiment Analysis in texts

• Experience in Functional and Object-Oriented Programming styles of Python and Javascript.

• Full Stack using frameworks / librairies such as VueJS, Flask, Tailwind and serverless architecture.

AI-related Languages, Librairies and Frameworks

Python Keras Tensorflow Wandb Scikit Pandas

AWS Services

AWS Lambda AWS Dynamodb AWS Amplify AWS Route53 AWS EC2 AWS S3 AWS API Gateway AWS SNS

Web Development Skills

PHP JavaScript HTML5 Vue JQuery CSS3 Sass TailwindCSS Bootstrap Flask


⚡ Understanding requirements of the institution and consulting for the projects, academic, research papers, tools recommendations to enhance the performance with Artificial Intelligence and Machine Learning.

⚡ Developed data pipeline and flow with DevOps on AWS.

Research Thesis

Conducted Research in NLP @ LIS UMR 7020 CNRS

CNRS

A current issue in NLP is the use of top performing but ressource-hungry models regardless of the Sentiment Analysis task they're used for. The goal was to develop adaptative Sentiment Analysis based on the difficulty to apprehend text subjectivity (DATS) and use the most efficient model accordingly.
  • Studied state of the art research papers
  • Benchmarked different top performing models on different Sentiment Analysis tasks
  • Engineered meaningful features to evaluate DATS
  • Proposed new adaptative sentiment analysis method and models to a board of researchers

Pinned Loading

  1. ne1baf ne1baf Public

    Hello, I'm Fabien Gaillard

  2. python-topic-model python-topic-model Public

    Forked from dongwookim-ml/python-topic-model

    Implementation of various topic models

    Jupyter Notebook

  3. UAE UAE Public

    Unsupervised Aspect Extraction in French

    Python