Aymeric Damien
Machine Learning Engineer at Snap Inc.
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAymeric 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'InformationMaster of Science (M.Sc.), Advanced Computing, Master of Science (M.Sc.), Advanced Computing at Tsinghua University
French, English, Chinese, German
Stackoverflow
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
n7
autoencoder7
rnn-model7
Programming languages (5)
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
ML EngineerContributions: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.
tensorflowdeep-learningpythonmachine-learning
aymericdamien/TopDeepLearning
Apr 2016 - Jul 2020
A list of popular github projects related to deep learning
Role in this project:ML Engineer
ML EngineerContributions:25 commits, 6 PRs, 25 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-learningmachine-learningtensorflowpytorch
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