Carlos Lassance
Member Of Technical Staff at Cohere
Grenoble, Auvergne-Rhône-Alpes, France
Summary
🤩
Rockstar🎓
Top SchoolCarlos Lassance is a research-driven machine learning engineer with 10 years of experience bridging graph signal processing and deep learning to analyze and improve DNN latent representations. Currently a Member of Technical Staff at Cohere after research roles at NAVER LABS Europe and a PhD at IMT Atlantique, he has a strong track record in neural retrieval, sparse retrieval methods, robustness evaluation, graph-based compression and visual localization. His work spans academic publications and collaborations with Mila, USC and the University of Adelaide, and is implemented primarily in Python and PyTorch. Notably, he combines theoretical graph-based insights with practical system-building for IR and model compression, bringing research ideas into production-focused contexts. Based in Grenoble, he pairs international research experience with hands-on implementation and a knack for probing intermediate network representations to yield more efficient and robust models.
10 years of coding experience
3 years of employment as a software developer
Engineer's degree, Engenharia de Computação, Engineer's degree, Engenharia de Computação at Pontificia Universidade Católica do Rio De JaneiroMaster Recherche Informatique, Systemes et objets communicants mobiles, Master Recherche Informatique, Systemes et objets communicants mobiles at Télécom Bretagne (ex- Enst de Bretagne, école nationale supérieure des télécommunications de Bretagne)Pontifical Catholic University of Paraná
Portuguese, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (71)
representations10
lucene10
sparse10
retrieval10
information-retrieval10
pytorch10
nlp9
benchmark9
record-linkage9
python9
deep-learning9
efficientnet9
recaptcha9
wtforms9
profanity9
Programming languages (4)
Github contributions (5)
cadurosar/benchmark_graphinference
Sep 2019 - Jul 2020
Contributions:30 commits, 7 pushes in 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.