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)

language-model10
sentence10
nearest-neighbors10
neural-network10
nlp10
sentence-embeddings10
pubmed10
data-science10
roberta10
amazon10
bert10
speech-recognition10
sentence-similarity10
python10
tensorflow10

Programming languages (12)

TypeScriptC#JavaShellC++CSSRustC

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
pytorchnlptransformersbertdeep-learning
Contributions:2 PRs, 26 pushes, 3 branches in 2 years 3 months
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Celso França - CAPES Scholarship PhD Student at Universidade Federal de Minas Gerais