Sylvain Marchienne
Software Engineer - Photos Algorithms at Apple
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSylvain Marchienne is a machine learning-focused software engineer with a decade of experience building and productionizing models for consumer-facing products. Currently on Apple’s Photos Algorithms team in San Diego, he combines research-led approaches (video summarization, highlight detection) with pragmatic engineering to ship robust ML features at scale. His background spans web-focused ML at Dashlane, full-stack data collection systems and anomaly detection, and internships that blended timeseries/spatial analysis and deep learning experimentation. He holds an MS in Computer Science from Georgia Tech and has international study experience in Shanghai, reflecting a global, multidisciplinary perspective. Notably, he pairs model design with metric-driven qualification and cloud deployment experience, making him adept at taking prototypes through to production.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université de Technologie de CompiègneExchange semester - International Engineer program, Exchange semester - International Engineer program at 上海大学
French, English, Spanish, Chinese
Stackoverflow
131reputation
4kreached
1answer
7questions
Github Skills (45)
flickr9
python-client9
reinforcement-learning8
machine-learning8
gradient-boosting8
shapley8
unsupervised-machine-learning8
shap8
pytorch7
data-annotation7
deep-learning7
outlier-detection6
api6
unsupervised-learning6
data-cleaning6
Programming languages (4)
Github contributions (5)
sylvainma/Explorify
Dec 2017 - Aug 2020
Photography Spot Exploration Using Unsupervised Machine Learning
Contributions:69 commits, 1 PR, 19 pushes in 2 years 8 months
unsupervised-machine-learningdbscan-clusteringflickrmachine-learning
sylvainma/Summarizer
Mar 2020 - Jul 2020
A Video Summarization framework for implementation and benchmark of Deep Learning models
Contributions:1 release, 112 commits, 15 PRs in 4 months
deep-learningpytorchvideo-summarizationreinforcement-learningmachine-learning
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