Celso França

CAPES Scholarship PhD Student at Universidade Federal de Minas Gerais

Minas Gerais, Brazil
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Summary

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Senior
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Celso França is a CAPES‑funded PhD candidate at UFMG with 11 years of experience bridging physics, computer science, and electrical engineering into applied AI research. His work focuses on Information Retrieval, NLP, and deep learning, with particular expertise in Extreme Multi-label Text Classification and Retrieval‑Augmented Generation. Celso has a track record of turning academic advances into practical solutions, having worked in systems and development roles at PUC Minas prior to his doctoral research. Based in Minas Gerais, Brazil, he combines rigorous multidisciplinary training with a practical bent toward building AI systems that scale to real-world text problems.
code11 years of coding experience
job1 year of employment as a software developer
bookThe Pontifical Catholic University of Minas Gerais
languagesPortuguese, English
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Stackoverflow

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Github Skills (200)

vp-tree10
transformers10
sentence10
python10
deep-learning10
self-attention10
gpu10
gemma10
clustering10
glm10
representation-learning10
keyword-extraction10
pretrain10
multimodal10
audio10

Programming languages (13)

C#MDXJavaC++CSSRustCJupyter Notebook

Github contributions (5)

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celsofranssa/TeCBench

Jul 2021 - Jan 2023

Text Classification Benchmark based-on Fine-tuned Transformer
Contributions:55 commits, 60 pushes, 6 branches in 1 year 6 months
text-classification
Contributions:2 PRs, 26 pushes, 3 branches in 2 years 3 months
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