Bruno Alexandre Krinski

Personal Profile:

Researcher at the Universidade Federal do Paraná (UFPR) with 3+ years deeply studying Artificial Neural Net-works. Proficient with Python programming language, Machine Learning and Computer Vision algorithms.I am organized, flexible, and dedicated. Learning new technologies and improving my knowledge are anessential part of my daily life. Responsibility and ease of relationship complete my profile.

Education:

2012 - 2016 Bachelor’s degree in Computer Science - The Universidade Federal do Paraná (UFPR)
2017 - 2019 Master’s degree in Informatics - The Universidade Federal do Paraná (UFPR)
2019 - Today Doctor’s degree in Informatics - The Universidade Federal do Paraná (UFPR)

Certifications:

2012 - 2015 English Course - Wizard.
2014 - 2016 Scientific Initiation - Voluntary, VRI (Vision, Robotics and Image) - Department of Informatics UFPR
2015 Course in Computer Graphics and Animation (60 hours), Department of Informatics UFPR

Skills:

Top Skills: Machine Learning, Computer Vision, and Python programming language.

Programming Languages: C, C++, C#, Java, Ruby, JavaScript and PHP.

Web Languages: HTML5, CSS3.

Frameworks: ROS (Robot Operating System), Ruby on Rails, ASP.NET, NodeJS and Django.

Embedded Development: Raspberry Pi, Arduino and Android.

Computer Vision Libraries: OpenCV and Scikit-image.

Machine Learning Libraries: Scikit-learn, TensorFlow, Keras and Pytorch.

DevOps: Docker, Bash scripting and Linux Server Administration.

Languages: Portuguese (Native) and English (Reading: Advanced, Writing: Advanced, Conversation:Medium).

projects

2019

Bruno A. Krinski, Daniel V. Ruiz, Guilherme Z. Machado, Eduardo Todt, "Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects", Access in: Arxiv

Daniel V. Ruiz, Bruno A. Krinski, Eduardo Todt, "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection", Access in: Arxiv, Github

2020