About

I am a PhD candidate at the Visual Data Science Lab (V-DS) at Fundação Getúlio Vargas (EMAp) in Rio de Janeiro, Brazil, supervised by Prof. Jorge Poco with the CAPES Scholarship.

My expertise is in machine learning, urban computing, large vision-language models, and explainable AI. My research interest lies in developing efficient and robust models for analyzing and understanding human perception from street images, as well as extracting key perceptual features for applications in urban computing.

Employment

Fundação Getúlio Vargas (EMAp) Rio de Janeiro, Brazil
AI Data Scientist May 2019 - May 2022

• LegalAnalytics: Exploring and predicting possible citations between Brazilian legal documents. Analysis, processing, organization, and extraction of the content of legal documents from the Brazilian Supreme Court-STF. Through NLP and LLMs, it is possible to identify and predict the most relevant sentences.

• TimberFlow: Detection of deforestation and illegal transport in the Amazon. Integration of Sinaflor and Sisflora, Brazil’s two most relevant databases on timber transport. Through Markov chains and graph networks, it is possible to predict the most likely transport flow between a consumer and a producer.

• UrbVis: Analysis of criminal data and correlations with urban security perception. Through convolutional networks, segmentation, and object detection, it is possible to identify, process and extract the main characteristics of street images in order to predict the perception of security in the cities of Rio de Janeiro and Sao Paulo.

• Technologies applied: Azure, TensorFlow, Keras, PyTorch, Computer Vision, NLP

CERNICALO S.A. Lima, Peru
Web/Mobile Developer August 2017 - October 2018

• Web Applications: Backend development using frameworks such as Laravel (Php) and Spring (Java). Furthermore, implementation and deployment of cloud hosting services.

• Mobile Applications: Android Mobile Applications Development using Android Studio with Android SDK versions from Jelly Bean (API 18) to Marshmallow (API 23).

• Technologies applied: Android, Java, PHP, Laravel, MySQL, Apache Kafka.

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

• BeaGOns: Real-Time Fog-Edge web application to read and process sensor data. Using an edge computing architecture, we deploy Raspberry Pi 2B-based modules (Edge Layer) across Lima City to collect environmental data via sensors.

• CHESS: High-Performance Beowulf Hybrid CPU-GPU Cluster with NVIDIA GeForce GTX 980 Ti. Using Apache Spark, MPI, and OpenMP, we simulate urban transport traffic with 1.2TB of temporal data from New York City and Seoul.

• Technologies applied: C/C++, HPC, Fog Computing, Golang, Embedded systems

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.

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.