About me

I am the Data and Machine Learning Engineer at Jump, where I work on the entire machine learning pipeline, from analysis and modelling to deployment. At Jump, we help professionals and companies find their perfect matches. This is done by using several Natural Language Processing and Machine Learning methods to evaluate candidates’ suitability and interest to jobs registered in our platform.

I recently received my PhD on Computer Science (Machine Learning) from the University of Sao Paulo (USP) - Brazil, where I worked with Moacir A. Ponti on the analysis of feature spaces created by Deep Learning and Representation Learning methods used to learn spatio-temporal features from videos. During my PhD, I was a research intern at the University of Edinburgh, working with Timothy Hospedales on the application of Generative Adversarial Networks (GANs) for knowledge transfer applied to Computer Vision tasks.

I have a Bachelor’s degree and a Master’s degree in Computer Science also from USP. During my MSc, my research focused on pattern recognition and anomaly detection. Other research projects I took part on focused on Deep Learning methods for Anomaly Detection, the impact of quantisation and noise on the performance of different Deep Learning architectures, Multimodal Data Paring, Zero-shot Learning and Few-shot Learning. I am also interested me in statistical learning theory, reinforcement learning and data visualisation.


Education

  • (2014 - 2019) - University of São Paulo: Ph.D. Student
    Representation learning of spatio-temporal features from videos.
    Advisor: Moacir Antonelli Ponti
    Research supported by the São Paulo Research Foundation (FAPESP).

  • (2012 - 2014) - University of São Paulo: Master’s Degree
    Anomaly detection on medical diagnosis using parametric methods and multiple classifiers.
    Advisor: Moacir Antonelli Ponti
    Research supported by the São Paulo Research Foundation (FAPESP).

  • (2008 - 2012) - University of São Paulo: Bachelor’s Degree
    Bachelor in Computer Science


Experience

  • (2019 - Present) - Data and Machine Learning Engineer
    At Jump.

  • (2015) - Graduate teaching assistant
    Graduate teaching assistant for the undergraduate course Introdução à Ciências da Computação II (Introduction to Computer Science II).

  • (2015) - Graduate teaching assistant
    Volunteer graduate teaching assistant for the undergraduate course Introdução à Ciências da Computação I (Introduction to Computer Science I).

  • (2012) - Undergraduate teaching assistant
    Undergraduate teaching assistant for the undergraduate course Processamento de imagens (Image processing).