Renato R.Machine Learning/AI Engineer
Skills
A software developer specializing in computer vision, with a strong focus on overcoming challenges and leveraging skills for technological advancement and societal benefit. Over four years of experience have provided in-depth knowledge of programming languages including Python, C, C++, and SQL, alongside proficiency in libraries such as TensorFlow, NumPy, OpenCV, and PyTorch for innovative artificial intelligence (AI) solutions.
Expertise is demonstrated through projects that blend advanced technologies to address intricate problems. For instance, the development of a vehicle detection system for road safety achieved notable accuracies of 98% and 95% using TensorFlow and PyTorch, incorporating deep learning techniques like CNNs. Contributions to the medical field include enhancing natural language processing in medical reports, designing systems to evaluate surgical skills, and detecting dead cells in the human eye.
Experience as a data analyst contributed to significant client cost savings exceeding 100 thousand reais annually by utilizing visualization tools like Matplotlib and Seaborn, and crafting effective dashboards in Grafana with SQL for insightful, data-driven solutions.
Proven skills in optimizing existing systems and creating new solutions are highlighted by the redesign of a helmetless motorcyclist detection system, which reached 95% accuracy using OpenCV with expertise in C++ and Python.
Combining capabilities in computer vision, data analysis, and software development, the continuous pursuit of complex challenges results in impactful solutions across diverse fields, striving for excellence and innovation to advance technological progress and benefit society.
Machine Learning Designer
6/1/2023 - Present
Redesigned an innovative system for detecting motorcyclists without helmets, enhancing its efficiency using advanced computer vision tools. Updated and improved existing systems for vehicle Brand, Model, and Color classification, and the automatic license plate reading system. Utilized libraries such as OpenCV and developed expertise in programming languages including C++ and Python.Data Analyst
11/1/2022 - 6/1/2023
Planned, implemented, and optimized industrial processes. Monitored operational flow and performance indicators, identifying opportunities for improvement and eliminating faults. Achieved desired results in terms of volume, quality, and cost, contributing to the operational excellence of the organization.Researcher
11/1/2021 - 11/1/2022
Participated in a research project centered on the implementation of advanced Digital Image Processing (DIP) and Deep Learning techniques to optimize the preparation of corneal examination reports, including Specular Microscopy. Focused on developing an innovative approach to automate and enhance the interpretation of these exams, the project aimed at providing greater precision and efficiency in ophthalmological diagnosis. Engaged extensively with Python and TensorFlow for model development, using OpenCV for image processing tasks. Utilized Convolutional Neural Networks (CNNs) and other machine learning algorithms to improve accuracy in detecting and analyzing corneal endothelium cells. Applied data augmentation techniques and fine-tuned hyperparameters to optimize model performance. Employed Jupyter Notebook for iterative development and visualization of model training results. Ensured seamless integration of automated processes into existing systems using RESTful APIs and maintained collaborative code maintenance with Git. Analyzed large datasets, performed rigorous testing, and documented findings to contribute to scientific publications and presentations.Researcher
8/1/2021 - 8/1/2022
Contributed to the development of an innovative solution integrating a cloud system and a mobile app for capturing images of capsulorhexis during training procedures. Utilized advanced computer vision techniques to enable precise measurement of maneuver accuracy. This system significantly advanced the evaluation and enhancement of surgical skills by providing detailed and objective performance analyses. Enhanced technical expertise in cloud computing, computer vision, and mobile application development.Researcher
9/1/2020 - 10/1/2021
Enhanced experience in software development for medical report analysis, utilizing advanced libraries such as NLTK and TensorFlow to improve Natural Language Processing (NLP). Created innovative solutions to streamline the interpretation and extraction of information from medical records, significantly increasing efficiency and accuracy in the process.Researcher
11/1/2019 - 10/1/2020
Applied research skills in the area of computer vision with a focus on machine learning using Tensorflow and Pytorch. Developed expertise in advanced deep learning techniques and implemented CNNs such as Inception, EfficientNet, and VGG19. Innovatively developed a system for detecting vehicle colors, brands, and models, and identifying road faults.
Mechatronics, Robotics and Automation and Control Engineering at Federal Institute of Education, Science and Technology of Ceará
2018 - 2025Associate Degree in Industrial Automation at Federal Institute of Education, Science and Technology of Ceará
2016 - 2018
Opinion Mining with Python at Samsung Ocean
9/1/2021Introduction to Machine Learning for HCIA-AI Certification at Universidade Federal do Ceará
4/1/2021Huawei Certification at Shenzhen Huawei Technologies Co., Ltd.
2/1/2021
Renato is available for hire
Meet Renato R.
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