Carlos Pena
Data Scientist Specialist
Pernambuco, Brazil
Summary
👤
Senior🎓
Top SchoolCarlos Pena is a Data Scientist Specialist with a decade of experience building AI-driven, production-ready systems that span computer vision, deep learning, generative AI, and robotics. He has led multiple agile squads from research to deployment, translating strategic product goals into scalable architectures—examples include an e-commerce catalog with MongoDB and RabbitMQ and an image processing pipeline using AWS SageMaker and Python-OpenCV. Comfortable with both research and engineering, he has engineered high-availability services for peak loads (13k+ concurrent users) and optimized data platforms with materialized views, Redis caching, and Dagster orchestration. Known for clear stakeholder communication, Carlos routinely bridges business strategy and technical execution to drive measurable outcomes. He holds a master’s in Computer Science from UFPE and brings a background in biometrics and object detection research that informs practical, data-centric solutions.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, A, Master's degree, Computer Science, A at Centro de Informática UFPE
Portuguese, English
Github Skills (45)
reinforcement-learning8
image-processing7
pytorch7
unet-image-segmentation7
deep-learning7
computer-vision6
python6
object-detection5
robotics5
simulation4
simulator4
segmentation4
localization3
image-segmentation3
robot3
Programming languages (8)
Github contributions (5)
CarlosPena00/SimpleVideoAnnotation
Mar 2018 - Oct 2020
A simple video annotation made with python + OpenCV for detection in YoloV2 format
Contributions:32 commits, 1 PR, 35 pushes in 2 years 7 months
pythonyolov2video-annotationobject-detectioncomputer-vision
CarlosPena00/ObjectDetection
Mar 2017 - May 2017
Contributions:62 commits, 66 pushes, 5 branches in 1 month
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