Greice Freitas

I have a degree in Mathematics and a master's degree in Electrical Engineering with an emphasis in Computer Engineering. Since my first professional experience, I have been working on multidisciplinary projects, using math tools combined with computer programming to understand and solve problems on different areas such as Computer Vision, Data Science and Signal Processing.

As a Technology Development Engineer, I have extensive experience in researching and developing computer vision systems for various applications. This includes designing and implementing classical and machine learning models for object detection, classification, and image segmentation. In addition, I have experience in conducting data analytics to better understand the behavior of experiments and identify areas for improvement.

I also have experience as a university teacher, which allowed me to develop soft skills such as interpersonal communication, teamwork, conflict resolution, and flexibility. This has enabled me to work effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and adapt to changing project requirements.

Overall, my diverse range of skills and experiences, both technical and interpersonal, have prepared me well for a variety of roles in technology development, computer vision, and data analysis.

I am seeking a dynamic and challenging work environment that encourages innovation and provides opportunities to work on cutting-edge projects. I am eager to learn new technologies and apply them to real-world problems, with a focus on developing novel solutions that push the boundaries of what is currently possible.

Technology Development Engineer 

May 2021 – Now

LUMICKS Amsterdam, Netherlands

• Research and development of computer vision systems for cell avidity analysis, using classical and machine learning models for object detection, classification, and image segmentation.
• Conduct data analytics to better understand cell avidity experiment behavior and initiate improvements in image analysis.
• Perform integration testing of cell avidity analyzer software, detecting failures and initiating actions to fix bugs and drive improvements.
• Provide support to other teams, writing scripts to automate tasks and standardize analysis processes and results.

PDEng trainee project | in collaboration with Philips and Kempenhaeghe hospital 

Sept 2019 – May 2021

Eindhoven University of Technology Eindhoven, Netherlands

• Designed an optical system composed of cameras and mirrors for remote photoplethysmography in sleep monitoring.
• Modeled and simulated the optical system using Matlab.

PDEng | Electronic Systems Sept 2019 – Sept 2020

Eindhoven University of Technology Eindhoven, Netherlands

• Completed courses: Advanced Sensing using Deep Learning, Video Health Monitoring, Design of

Experiments, System Thinking, Practical Data Analysis.

Master of Electrical Engineering | Computer Engineering Feb 2008 – Feb 2010

University of Campinas São Paulo, Brazil

• Studied computer vision, image processing and pattern recognition.

Licentiate of Mathematics Feb 2004 – Dec 2007

University of Campinas São Paulo, Brazil