Philippe Spino
AI Dev at Omnimed - Electronic Medical Records (EMR)
Sherbrooke, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolPhilippe Spino is an AI developer and R&D lead with nine years of software engineering experience, currently building machine learning and data architecture solutions for Omnimed’s electronic medical records. He holds a Master’s in Engineering focused on artificial intelligence from the University of Sherbrooke and has collaborated on theoretical research projects like neural teleportation with the university’s CS department. His background spans practical C++ application development for animation and games, ETL and database design for weather data, and production ML systems—bridging research and product work for medical use cases. Known for translating academic ideas into deployable platforms, he laid groundwork for an AI platform at PowerTree™ as an undergrad. Based in Sherbrooke, Quebec, Philippe combines deep technical breadth with a penchant for applied research and team leadership.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence, Master of Engineering - MEng, Artificial Intelligence at University of SherbrookeGénie Informatique, Ingénierie informatique, Génie Informatique, Ingénierie informatique at Université de Sherbrooke
French, English
Github Skills (28)
metadata10
operation9
observation9
scheduler9
python9
representations9
orchestration8
workflow-automation8
etl8
analytics8
dagster8
data-science8
data-collection8
airbyte7
data-engineering7
Programming languages (6)
Github contributions (5)
pspino/ColorNet
Feb 2020 - Jul 2020
Implementation of a Neural Network that colorize grayscale to RBG-space colored images using a mix loss function
Contributions:16 PRs, 46 pushes, 23 branches in 4 months
coloredcolorizeneural-networkgrayscaleloss
pgarneau/apaintus
Feb 2019 - Mar 2019
Contributions:15 PRs, 86 pushes, 11 branches in 26 days
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