Pascal Voitot

Applied Research Engineer Scientist In Deep Machine Learning (LLM, CV In Remote Sensing Domain) at Samsung Strategy and Innovation Center

Paris, Ile-de-France
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Summary

👤
Senior
🎓
Top School
Pascal Voitot is an applied research engineer and scientist with 13 years of experience building and deploying deep learning systems, currently focusing on LLMs and multimodal models as well as computer vision for remote sensing at France’s national mapping agency. He blends research-grade model work (LLM fine-tuning, multimodal embeddings, panoptic segmentation, change detection and generative imagery) with production infrastructure expertise—Slurm, MLOps, Kubernetes and vector search (Weaviate/FAISS). Previously he led applied ML teams at Samsung SRI, shipping knowledge-grounded conversational agents, retrieval-augmented generation pipelines and domain-specific NLU, and co-authored a paper presented at ACL. A pragmatist with a functional-programming background, he also brings strong distributed systems skills (Akka, Kafka, Spark) and a history of open-source contributions to Play and Typelevel Cats. Based in Paris, he combines dataset annotation and cross-team coordination with hands-on modeling, and maintains a decade-long track record of bridging research, production engineering and community contributions.
code13 years of coding experience
job13 years of employment as a software developer
bookMaster of Computer Applications (MCA) Computer and Information Sciences Digital Imaging, Master of Computer Applications (MCA) Computer and Information Sciences Digital Imaging at ENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen
languagesFrench, English, German
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Github Skills (10)

cat10
json10
web-framework10
functional-programming10
typeclass10
playframework10
scala10
algebra9
webapp9
reactive9

Programming languages (7)

RustScalaJavaScriptHaskellMarkdownGLSLPython

Github contributions (5)

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typelevel/cats

Feb 2015 - Apr 2015

Lightweight, modular, and extensible library for functional programming.
Role in this project:
userBack-end Developer
Contributions:22 commits, 6 PRs, 69 comments in 2 months
Contributions summary:Pascal contributed to the `cats` library, focusing on adding and refactoring instances for the `Show` typeclass, specifically for `String`, `Int`, `Byte`, `Char`, `Short`, `Long`, `Float`, `Double`, `Boolean`, and `Unit`. They also introduced instances for `BigInt` and `BigDecimal`, refactoring code to create a more consistent and functional approach to the library's typeclass implementations. A significant part of the work involved modifying existing code to improve the library's API and integrate with other parts of the Cats ecosystem.
functional-programmingtagless-finalscalamodularextensible
playframework/playframework

Jan 2013 - Oct 2013

The Community Maintained High Velocity Web Framework For Java and Scala.
Role in this project:
userBack-end Developer
Contributions:10 commits, 9 comments in 8 months
Contributions summary:Pascal primarily contributed to the `playframework/playframework` repository by modifying core JSON-related functionalities. They added a `prettyPrint` method for JSON formatting and refactored the code, incorporating `deepMerge` for improved JSON object merging. Furthermore, the user made changes related to functional combinators within the `play-functional` module, including moving the Constraints back to play core and refactoring the codebase to improve clarity. They addressed other bug fixes and performance improvements related to headers and cookies.
restfulplay-frameworkframeworkplayframeworkjvm
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Pascal Voitot - Applied Research Engineer Scientist In Deep Machine Learning (LLM, CV In Remote Sensing Domain) at Samsung Strategy and Innovation Center