Eliot Andres, Computer Vision Developer in Paris, France
Eliot Andres

Computer Vision Developer in Paris, France

Member since June 6, 2018
Eliot is a capable young engineer specializing in machine learning and deep learning. He helps his clients create functional prototypes and optimize existing models. With a solid academic foundation and a couple years of professional experience under his belt, he is sure to be an asset to any project.
Eliot is now available for hire

Portfolio

Experience

Location

Paris, France

Availability

Part-time

Preferred Environment

Linux, Git, Python

The most amazing...

...project I've contributed to involved processing 100+ million images/month with deep learning.

Employment

  • Freelance Machine Learning Engineer

    2017 - PRESENT
    Freelance
    • Developed face emotion detection, retraining face landmarks and migrating to iOS.
    • Ported models (SVM, CNN) to CoreML on iOS.
    • Made sales predictions using XGBoost for a national bank.
    • Developed retinopathy detection using convolutional neural networks.
    • Built quality insurance on a production line on Android devices using deep learning.
    • Developed real-time semantic image search using word vectors and CNNs.
    Technologies: Tensorflow, Scikit-Learn, Dlib, XGBoost, Core ML
  • Deep Learning Engineer

    2017 - 2017
    Linkfluence
    • Developed a logo detection algorithm using the latest deep learning architectures (Bi-LSTM, CNN, attention networks).
    • Set up the infrastructure to apply this algorithm in production. Performance: 100+ million images per month.
    Technologies: Tensorflow, Keras, Kafka
  • Back-end Engineer

    2016 - 2016
    Mbr Targeting
    • Enhanced the Node.js stack, handling more than 25 billion queries/month.
    • Made extensive use of Redis, Kafka, ZeroMQ, and Aerospike.
    • Implemented Node profiling and monitoring.
    • Improved deployment procedure using Puppet, Nagios, and Cyanite.
    Technologies: Kafka, Node.js, Aerospike, Impala

Experience

  • Pretrained.ml (Development)
    http://pretrained.ml/

    List of deep learning models with demos.

  • List of Solutions to ML Problems (Development)
    http://ndres.me/kaggle-past-solutions/

    A sortable and searchable compilation of solutions to past Kaggle competitions.

    If you are facing a data science problem, there is a good chance that you can find inspiration here.

Skills

  • Frameworks

    Core ML, MLKit
  • Libraries/APIs

    TensorFlow, Scikit-learn, XGBoost, Keras
  • Languages

    Python 3, JavaScript 6
  • Paradigms

    Agile
  • Platforms

    Android, iOS
  • Other

    Computer Vision, Computer Vision Algorithms

Education

  • Master's degree in Computer Engineering
    2013 - 2017
    Ecole des Ponts et Chaussées - Paris
Certifications
  • Structuring Machine Learning Projects
    AUGUST 2017 - PRESENT
    Coursera
  • Neural Networks and Deep Learning
    AUGUST 2017 - PRESENT
    Coursera

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