CV

Education

• B.S. in Computer Science, São Paulo State University, 2019
• M.S. in Computer Science, São Paulo State University, 2023

Work experience

• Sep/2021 - currently: Machine Learning R&D Engineer at the CK-12 Foundation
  • Currently working with multimodal representation learning.
  • Was also supervised previously by Dr. Li Deng.
• Mar/2021 - jun/2022: Data scientist at NTT Data
  • Besides the traditional data science work, my main contributions were the investigations on Quantum Natural Language processing with Prof. Felipe Fanchini, where we developed the Quantum Sentence Transformer.

Skills

• Quantum Computing
• Natural Language Processing
• Deep Learning
  • PyTorch
  • Tensorflow/Keras
• Signal Processing
• Data Analysis
• GitHub
• Linux

Publications

CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms

Guido, R. C., Pedroso, F., Furlan, A., Contreras, R. C., Caobianco, L. G., & Neto, J. S. (2020)

Corneal Tomography Multivariate Index (CTMVI) effectively distinguishes healthy corneas from those susceptible to ectasia

Gildasio Castello de Almeida Jr, Rodrigo Capobianco Guido, Jogi Suda Neto, João Marcos Rosa, Lilian Castiglioni, Luiz Carlos de Mattos, Cinara Cássia Brandão.

Introducing the Discrete Path Transform (DPT) and its applications in signal analysis, artefact removal, and spoken word recognition

Rodrigo Capobianco Guido, Fernando Pedroso, Rodrigo Colnago Contreras, Luciene Cavalcanti Rodrigues, Emanuel Guariglia, Jogi Suda Neto

Quantum neural networks successfully calibrate language models

Jogi Suda Neto, Lluis Quiles Ardila, Thiago Nascimento Nogueira, Felipe Albuquerque, João Paulo Papa, Rodrigo Capobianco Guido & Felipe Fernandes Fanchini