Aymeric Damien - Machine Learning Engineer at Snap Inc.

Aymeric Damien

Machine Learning Engineer at Snap Inc.

Mountain View, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Aymeric Damien is a Machine Learning Engineer with 11 years of experience building production-scale intelligent systems, currently working on ML at Snap Inc. He has a strong research and engineering background from Tsinghua University and roles spanning image recognition, large-scale clustering, and threat-user detection using TensorFlow, Caffe, Spark, and distributed databases. Aymeric is an active open-source contributor—maintaining the widely used TensorFlow-Examples repository and curating popular deep learning projects—helping beginners bridge theory and practice. He co-founded a file-sharing social network early in his career, showing an entrepreneurial streak alongside deep technical chops. Based in Mountain View, he blends research-grade results with hands-on deployment experience, often focusing on data pipeline optimization and model customization for large-scale prediction systems.

11 years of coding experience

5 years of employment as a software developer

Diplôme d'ingénieur (Master's degree), Computer Sciences, Project Management, Diplôme d'ingénieur (Master's degree), Computer Sciences, Project Management at Ecole internationale des Sciences du Traitement de l'Information

Master of Science (M.Sc.), Advanced Computing, Master of Science (M.Sc.), Advanced Computing at Tsinghua University

French, English, Chinese, German

Stackoverflow

Stats

116reputation

10kreached

6answers

0questions

Github Skills (21)

pytorch10

python10

machine-learning10

beautifulsoup10

webscraping10

deep-learning10

tensorflow10

html-parsing10

http-request10

neural-network10

data-extraction9

computer-vision8

autoencoder7

rnn-model7

Programming languages (5)

C++RHTMLJupyter NotebookPython

Github contributions (5)

aymericdamien/TensorFlow-Examples

Nov 2015 - Dec 2020

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Role in this project:

ML Engineer

Contributions:2 reviews, 168 commits, 99 PRs in 5 years 1 month

Contributions summary:Aymeric contributed to the implementation of machine learning models within the TensorFlow Examples repository. They added and revised code related to both basic and advanced machine learning models including linear regression, logistic regression, multi-layer perceptrons, convolutional neural networks, recurrent neural networks, and autoencoders. These contributions likely aimed to provide beginners with practical examples of common machine learning techniques.

tensorflow-tutorialpythondeep-learningfor-beginnersmachine-learning

aymericdamien/TopDeepLearning

Apr 2016 - Jul 2020

A list of popular github projects related to deep learning

Role in this project:

ML Engineer

Contributions:25 commits, 6 PRs, 24 pushes in 4 years 3 months

Contributions summary:Aymeric focused on developing a script to scrape and compile a list of popular deep learning projects from GitHub. They implemented functions to search GitHub repositories by topic and keyword, extract relevant information such as project title, description, and star count. The user also refined the scraping process and adjusted the presentation format of the collected data.

deep-learningneural-networkmachine-learningtensorflowpytorch

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