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
Convolutional Neural Networks
Optical Character Recognition
Object Detection Methods
Computer Vision Libraries
Video Analytics
Semantic Segmentation
Image Processing Techniques
Edge Computing
Data Annotation Tools
Machine Learning Frameworks
Interests
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