AI Architect | Senior Data Scientist | Master’s Research Fellow | Team Lider | R&D
Passionate R&D specialist with a Master’s in Computer Science from UFPE and deep expertise in AI, machine/deep learning, and computer vision. Proven ability to design and deploy custom AI solutions that address complex business challenges at scale. Adept at bridging technical and business needs, leading cross-functional teams in agile environments, and translating research into high-impact, production-ready systems. Known for aligning innovation with strategic goals and accelerating product development in high-performance environments.
rb.epfu.nic [ta] pchc ;moc.liamg [ta] anepceuqirnehsolrac
Passionate R&D specialist with a Master’s in Computer Science from UFPE and deep expertise in AI, machine/deep learning, and computer vision. Proven ability to design and deploy custom AI solutions that address complex business challenges at scale. Adept at bridging technical and business needs, leading cross-functional teams in agile environments, and translating research into high-impact, production-ready systems. Known for aligning innovation with strategic goals and accelerating product development in high-performance environments.
rb.epfu.nic [ta] pchc ;moc.liamg [ta] anepceuqirnehsolrac
Skills and interests
- AI, Neural Networks and Deep Learning
- Computer Vision
- Robotics
- Agile Management
- Pytorch, OpenCV, Pandas, Polars, FastAPI, Git, Docker, ElasticSearch, AWS/Boto3, Unix/Bash, 3D printing
Main Projects
- Co-founder of RobôCIn - UFPE, a research group in Centro de Informática of UFPE, that uses robotics to solve problems (exited in 2021).
- Led teams in robot soccer AI research, applying Deep Learning and Reinforcement Learning.
- Developed vision and control systems using OpenCV, QT, and ROS.
- Developed a software system with ROS to control a human-size domestic robot for the @Home category on RoboCup.
- Presented multiple workshops on computer vision, 3D modeling and printing, and robotics simulation.
Papers
An Ensemble Learning Method for Segmentation Fusion
Carlos H. C. Pena; Tsang Ing Ren; Pedro D. Marrero Fernandez; Fidel A. Guerrero-Peña; Alexandre Cunha
2022, International Joint Conference on Neural Networks (IJCNN)
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
Carlos H. C. Pena, M. G. Machado, M. S. Barris, J. D. P. Silva, L. D. Maciel, T. Ing Ren, E. N. S. Barros, P. H. M. Braga and H. F. Bassani
2020, Proceedings of the Latin American Robotics Symposium (LARS)
Awards
- 1st Place Team at Microsoft College Bot-ando Competition, UFPE (2019)
- Achieved top rankings in Latin American IEEE Very Small Size Soccer: 5th (2017), 4th (2020)
- 3rd Place Team at Microsoft College Code Competition, UFPE (2018)
- Top 10 Project at National DragonBoard IoT Embedded Competition among 350 teams (2017)
- Honorable Mention at Sigfox Embedded System - WND IoT Challenge (2017)
Online Courses
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Rust (Alura 2023), Kafka (Alura 2023), Agile Management Practices SC-AMP (Agile Institute Brazil 2022), Scrum (Alura 2022), Kanban Foundation KIKF (2020), Deep Learning with Pytorch (Udemy 2018), Deep Learning: GANs and Variational Autoencoders (Udemy 2017), 3D Printing with Fusion 360 (Udemy, 2017), Android (CITi, 2016), Logic: Language and Information (Melbourne, 2015).