Computer vision
Felipe Nack
Computer Vision Engineer
Blumenau, Santa Catarina
Summary
Computer Vision Engineer with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models. Experienced with many computer vision systems and both cloud and edge computing.
Overview
7
7
years of professional experience
8
8
years of post-secondary education
2
2
Languages
Work History
Data Scientist
Bunge
11.2022 - Current
- Stayed current with advances in computer vision research and emerging trends, ensuring continuous innovation and competitive advantage.
- Incorporated feedback from user testing into iterative design improvements, resulting in more intuitive and effective computer vision products.
- Collaborated with cross-functional teams to integrate computer vision capabilities into various projects, leading to improved product features.
- Enhanced video analytics capabilities by incorporating advanced tracking algorithms for improved motion detection and event recognition.
- Partnered with domain experts to tailor computer-vision solutions for industry-specific use cases, maximizing value of developed applications.
- Managed team of 3 engineers
- Detected 1000+ unsafe acts through video analytics
Software Developer
ADA Vision
06.2018 - 10.2021
- Refactored legacy code bases for improved maintainability, paving the way for easier future updates.
- Developed scalable and maintainable code, ensuring long-term stability of the software.
- Developed customized software solutions for diverse clients, resulting in increased satisfaction and repeat business.
Computer Vision Intern
CNPq
03.2017 - 12.2018
- Enhanced intern productivity by assisting with project coordination and providing ongoing support.
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
Education
Master of Science - Automation And Systems Engineering
03.2022 - 03.2024
- 9.28, Federal University of Santa Catarina, 2024 - 3.714 GPA Conversion
- Comparison of Modern Deep Neural Networks Architectures for Cross-section Segmentation in Images of Log Ends, https://doi.org/10.1109/TLA.2024.10472957 - Research Project
- Dissertation: Ring counting and log identification using deep neural networks
Bachelor of Science - Control And Automation Engineering
03.2016 - 09.2021
Skills
Cloud Computing Platforms
undefinedInterests
Mechatronics
Linear Algebra
Deep Learning
Timeline
Data Scientist - Bunge
11.2022 - Current
Federal University of Santa Catarina - Master of Science, Automation And Systems Engineering
03.2022 - 03.2024
Software Developer - ADA Vision
06.2018 - 10.2021
Computer Vision Intern - CNPq
03.2017 - 12.2018
Federal University of Santa Catarina - Bachelor of Science, Control And Automation Engineering
03.2016 - 09.2021
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