Martín Cooper
Software Engineer at IBM
Vicente López, Buenos Aires, Argentina
Summary
👤
Senior🎓
Top SchoolMartín Cooper is a full-stack software engineer with nine years of experience, currently building AI automation and interactive AI tools with IBM Research. He combines cloud-native practices (Docker, Kubernetes, IBM Cloud CI/CD) with web frameworks (Flask, Spring Boot, React) and production data stores like COS and MongoDB to take research prototypes toward deployable systems. As maintainer of EvalAssist and Label Sleuth, he contributes to practical ML tooling that bridges model evaluation and labeling workflows. Educated in Argentina and with study experience at Université de Montpellier, he brings an international, research-adjacent perspective and a knack for turning experimental AI ideas into reliable, user-facing services.
9 years of coding experience
1 year of employment as a software developer
Information et Gestion, Computer Science, Information et Gestion, Computer Science at Université de MontpellierSoftware Engineer, Software Engineering, Software Engineer, Software Engineering at National University of the Center of Buenos Aires Province
Github Skills (40)
transformers10
pytorch10
javascript10
python10
evaluation10
no-code10
text-classification10
text-annotation10
datasets10
classifiers10
nlp10
react10
active-learning10
llm9
machine-learning9
Programming languages (6)
Github contributions (5)
martinscooper/tesis-project
Apr 2019 - Apr 2021
Contributions:71 pushes, 3 branches in 2 years
martinscooper/label-sleuth.org
Aug 2022 - Dec 2023
The official website of Label Sleuth
Contributions:22 pushes, 18 branches in 1 year 4 months
nextjsjekyllsleuth
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