About

I am a Artificial Intelligence Engineer in the Escola de Matemática Aplicada (EMAp) at the Fundação Getúlio Vargas (FGV), my research lies at the intersection of Urban Perception, Deep Learning, and Interpretability Machine Learning. I am especially interested in building efficient, and robust models that can perform analyzing, and understanding human perception from street images with or without associated description text to improve the identification of the visual components, and main perceptual features extraction for applications in urban computing. I’m also a back-end developer very passionate about Python, Golang, and DevOps.

Employment

Fundação Getúlio Vargas (EMAp) Rio de Janeiro, Brazil
Data Scientist May 2019 - Current

• My work relies in two main projects: (i) Timberflow: It is focused on detecting illegal timber operations in the Amazon Rainforest; (ii) Urban safety Perception(UrbEX): Analyse criminal data and urban perception on street images. For a better organization, teams organized Scrum ceremonies to increase developer engagement in all projects.

• TimberFlow: I integrated two major Brazilian databases (Sinaflor and Sisflora) of wood-based product transportation/exportation. Using libraries like Pandas and Selenium, my work helps to automate the process of cleaning, filter, and unifying both datasets, resulting in a very simple and organized database (link to reference).

• Urban Safety Perception: Analyzing street view images, we extract main features from them to map zones with criminal rate records. We use several techniques based on object segmentation (DeepLabv3+), object detection (Faster-RCNN), and GANs. As main results, we can correlate and understand why streets could be safely perceived (link to reference).

• Tech stack: Python, Numpy, Pandas, Keras, Pytorch, DJando, Flask, GIT, Selenium, Flask, Scrum.

CERNICALO S.A. Lima, Peru
Web Development Engineer August 2017 - May 2018

• IT consultant.
• Web Applications development and maintain.
• Mobile Applications developed over AndroidStudio.
• Tech stack: Laravel, MySQL, PHP, Java, Android, Node-js, GIT.

Facultad de Ciencias Lima, Peru
Teaching Assistant August 2017 - Dec 2017

• Courses: Parallel Algorithms & Simulation and Modeling.
• Tech stack: C++, C, MPI, OpenMP, CUDA, Octave, Python, Caffe, GIT.

Centro de Tecnologías de Información y Comunicaciones (CTIC) Lima, Peru
Research Assistant Jan 2016 - July 2017

• Research Fields: Big Data, Fog Computing, and High-Performance Computing.
• Tech stack: Apache Spark, Apache Flink, MongoDB, Bash, C++, C, Golang, MPI, OpenMP, CUDA, MQTT, GIT.

Education

Universidad Católica San Pablo (UCSP) Arequipa - Peru
M.Sc. in Computer Science 2018 - 2020
Thesis: Identification and Extraction of Visual Characteristics to Understand the Urban Perception through Street Images - Slides
Supervisor: PhD. Jorge Poco Medina

Universidad Nacional de Ingeniería (UNI) Lima - Peru
B.Sc. in Computer Science 2012 - 2017
Project: Design and implementation of the core level of a transversal platform based on Fog Computing architectures - Slides
Supervisor: PhD. Manuel Castillo Cara

Publications

To know further about my research line, visit this link.

Skills

Category	Proficiency in approximate descending order from left to right
Programming Languages	C, C++, Go, Python, R, M (Octave/MATLAB), Javascript
Web Technologies	HTML, CSS/SCSS, Django, VueJS, ReactJS, Flask, BeeGo, Gorilla, Node.js, Angular, Jekyll
Databases/Storage	PostgreSQL, MySQL, MongoDB
Data Analysis/Modeling	Keras, Pytorch, Tensorflow, Pandas, Numpy, Scikit-learn, Beautiful soup, Matplotlib, Seaborn, Scrapy
Cloud	AWS (EC2, Route 53 Console)
Productivity Tools	LaTeX, GIT, Jupyter
Software Engineering	Test-Driven Development: Selenium
Machine Learning Techniques	Clustering, classification/regression, dimensionality reduction.

Languages

• Spanish: Native
• English: Fluent
• Portuguese: Intermediate
• Basic level of Janapese (JLPT N5) certified by the Japan Foundation. PDF Certificate

Honors and Awards

• Dec 2019: NeurIPS Travel Grant for the Annual Conference on Neural Information Processing Systems.
• June 2019: ICML Travel Grant for the International Conference on Machine Learning.
• Dec 2018: LXAI Travel Grant for the LatinX in AI Workshop co-located with NeurIPS 2018.
• Nov 2018: Leaders in Innovation Fellowship for the The Royal Academy of Engineering, London, UK.
• May 2018: Master Fellowship for the CONCYTEC and Universidad Católica San Pablo (UCSP).
• July 2017: Higher Fifth of the class of Computer Science.
• July 2016: Outstanding Students for the Universidad Nacional de Ingeniería (UNI).
• March 2016: Beca Permanencia Scholarship supported by PRONABEC and Universidad Nacional de Ingeniería (UNI).

Volunteer Work

• Director and Co-Founder at Orientate Perú.
• Volunteer in programs like Crea+ and Techo-Peru.
• Innovation Mentor at the technological incubator StartUp UNI, Lima, Perú.
• Member of the University Assembly from 2016 to 2017.
• Member of Student Center from 2012 to 2013.

References

Available on request.