Professor

• Oct 2023 - Present

Visiting Assistant Professor

• Sep 2023 - Present

Visiting Assistant Professor

• Sep 2023 - Present

Intern NLP Data Scientist

• Jul 2023 - Aug 2023

- Improving Shell library for estimating energy consumption and carbon emissions in Generative Artificial Models - Building a custom fine-tune Llama 2 model Results: best solution in the "Artificial Intelligence with Quantifiable Impact" category in the Summer of AI 2023 - Improving Shell library for estimating energy consumption and carbon emissions in Generative Artificial Models - Building a custom fine-tune Llama 2 model Results: best solution in the "Artificial Intelligence with Quantifiable Impact" category in the Summer of AI 2023

Artificial Intelligence Engineer

• Nov 2021 - Jun 2023

Responsible for managing, implementing, and executing projects involving artificial intelligence. Topics: Computer Vision; Machine Learning; Deep Learning; Internet of Medical Things (IoMT) Responsible for managing, implementing, and executing projects involving artificial intelligence. Topics: Computer Vision; Machine Learning; Deep Learning; Internet of Medical Things (IoMT)

Machine Learning Engineer

• Jan 2021 - Nov 2021

Researching, building, and designing self-running artificial intelligence systems to automate predictive models. Results: Optimization of existing projects in the company. Topics: Deep Learning; Computer Vision; Natural Language Processing Researching, building, and designing self-running artificial intelligence systems to automate predictive models. Results: Optimization of existing projects in the company. Topics: Deep Learning; Computer Vision; Natural Language Processing

Machine Learning Researcher

• Jun 2020 - Jan 2021

Developed Machine Learning and Deep Learning Models for Audio Anomaly Detection. Results: Publications at conferences. Topics: Deep Learning; Unsupervised Learning; Anomaly Audio Detection; Clustering Developed Machine Learning and Deep Learning Models for Audio Anomaly Detection. Results: Publications at conferences. Topics: Deep Learning; Unsupervised Learning; Anomaly Audio Detection; Clustering

Machine Learning Engineer

• Apr 2019 - May 2020

Researching, building, and designing self-running artificial intelligence systems to automate predictive models. Results: Optimization of existing projects in the company. Topics: Deep Learning; Computer Vision; Natural Language Processing Researching, building, and designing self-running artificial intelligence systems to automate predictive models. Results: Optimization of existing projects in the company. Topics: Deep Learning; Computer Vision; Natural Language Processing

Developer and Co-Founder

• Sep 2017 - Apr 2019

SEAS Agro is a startup that aims to solve small and medium farmers with crop monitoring. My contributions include: - Collaborate in training the startup; - Build a prototype of the solution; - Present our solution at events. - 3rd place winner as the best solution at the Demoday Agroleite 2018 event in Castro, Paraná, Brazil SEAS Agro is a startup that aims to solve small and medium farmers with crop monitoring. My contributions include: - Collaborate in training the startup; - Build a prototype of the solution; - Present our solution at events. - 3rd place winner as the best solution at the Demoday Agroleite 2018 event in Castro, Paraná, Brazil

Undergraduate Research Student

• Aug 2016 - Aug 2018

For two years I worked at the Visual Processing Laboratory (UTFPR-PG) with my research and also helped Masters and Ph.D. students. The main objective of my research was to use the eye tracker in usability in the area of Human-computer interaction (HCI). Published Papers: - Nunes, E. C. et al. Virtual Environment Evaluation of Collaborative Learning with the Use of Eye Tracking and SUS - System Usability Scale. In: Serminário de Iniciação Cientifica e Tecnológica da UTFPR, 22., 2018, Apucarana. Anais eletrônicos... Apucarana: UTFPR, 2018. Available: - Nunes, E. C. et al. Preparation of Stimulus for a Study of Visual Attention Usingan Eye Tracker Equipment. In: Serminário de Iniciação Cientifica e Tecnológica da UTFPR, 22., 2017, Londrina. Anais eletrônicos... Londrina: UTFPR, 2017. Available: Main technologies used: - Python; - View x 2.8 build 43; - Experiment Center 3.7; - BeGaze 3.7. Show less

Computer Vision Intern

• Jan 2018 - Mar 2018

27th CNPEM Summer Scholarships Among the 692 candidates, I was one of 16 scholarship students to participate in the CNPEM Summer Scholarships. My project was at the Brazilian Biorenewables National Laboratory (LNBR) with the title: Bagasse level determination using image processing and computer vision techniques. The main objective of the project was to create a script capable of inferring the level of sugarcane bagasse. My contributions include: - Create support for IP camera; - Create a script to measure the level of sugarcane bagasse in real-time. - With this project, I earned in 3rd place in the i4.0@TMAD competition with a value of € 3,000. Show less

Extension Project

• Dec 2011 - Dec 2012

Teaching basic informatics for the elderly

Extension Project

• Jan 2011 - Dec 2011

Teaching basic informatics for the children