Emmanuel Leroy
Senior Product Manager - Data, ML & AI
California, United States
Summary
👤
Senior🎓
Top SchoolEmmanuel Leroy is a Senior Product Manager specializing in data, ML, and AI with 11+ years of experience building high‑performance, customer‑centric products from prototype to scale. He has a proven track record of dramatically improving performance and time‑to‑value—bringing Syndio’s compensation equity tool from concept to release in four months and speeding computations by two orders of magnitude while supporting 60+ corporate customers. At Oracle he now focuses on data and ML product strategy, drawing on hands‑on engineering and DevOps experience demonstrated in open‑source contributions to OCI data science workflows and containerized Ceph deployments. Earlier roles include delivering an 85%‑accurate predictive model for call volume at Medium One and commercializing a nanoscale molecular‑imaging microscope that drove double‑digit growth at HORIBA. Comfortable bridging research, product and operations, he combines deep technical fluency with business development instincts and a knack for translating complex analytics into actionable customer outcomes.
11 years of coding experience
20 years of employment as a software developer
Equivalent Master of Science in Engineering (MSE), Mechanical Engineering, Electrical, Electronics & Computer Science, Material Science and Management, Equivalent Master of Science in Engineering (MSE), Mechanical Engineering, Electrical, Electronics & Computer Science, Material Science and Management at Icam - Institut Catholique d'Arts et MétiersResearch project, Electrical and Electronics Engineering, Bio-engineering, A+, Research project, Electrical and Electronics Engineering, Bio-engineering, A+ at University of Limerick
French, English, Spanish
Github Skills (28)
container10
docker10
spark10
data-pipelines10
python10
scripting10
data-science10
machine-learning10
bash10
dockers10
script10
pipe10
pipeline10
ceph10
sh10
Programming languages (19)
Github contributions (5)
oracle-samples/oci-data-science-ai-samples
Jun 2022 - Dec 2022
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Role in this project:
Data Scientist
Data ScientistContributions:18 commits, 6 PRs, 1 comment in 6 months
Contributions summary:Emmanuel's commits focus on a credit card fraud detection use case within a Data Science Notebook. The code implements a complete workflow, including dataset exploration, model selection, DataFlow application creation for training on massive datasets, and model deployment for REST endpoint inference. The commits demonstrate the development of Spark applications for training and batch scoring on Oracle Cloud Infrastructure DataFlow, emphasizing the user's expertise in utilizing cloud-based machine learning pipelines.
pythonsciencecondadata-sciencedeep-learning
ceph/ceph-container
Dec 2015 - Dec 2015
Docker files and images to run Ceph in containers
Role in this project:DevOps Engineer
DevOps EngineerContributions:21 commits, 8 PRs, 54 comments in 15 days
Contributions summary:Emmanuel's contributions center around enhancing the `ceph-container` repository's functionality and reliability through modifications to the container's entrypoint script and configuration files. They implemented features such as initializing the KV store, populating it with ceph configurations, and streamlining OSD creation and startup within the container. Furthermore, the user addressed bug fixes in the entrypoint script, specifically related to OSD and MDS daemon startup, and optimized configurations by pre-creating directories for confd in etcd. The primary focus is on improving the containerized Ceph deployment.
containersdocker-imagedocker-filesdockerceph
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