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Helo Mendes

@helomendes

Research intern in computer vision and machine learning, developing medical image analysis and smart-city monitoring systems.

Brazil

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At the Research Group in Data Science & Big Data, I worked on machine learning and computer vision for smart-city monitoring, including preparing datasets and implementing classification and Siamese network models. This research contributed to a paper presented at ICMLA 2024.

At the Laboratory of Vision, Robotics and Imaging, I research medical image processing and segmentation, and machine learning for genomic data and biomarker discovery. I also worked as a Software Development Intern at 4KST, contributing to frontend interfaces, backend APIs and microservices, and automated tests.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

Laboratory of Vision, Robotics and Imaging

Sep 2024 - Present (2 years 1 month)

Developed algorithms for medical image processing and segmentation, and applied machine learning for genomic data analysis. Collaborated on academic research projects for healthcare conferences.

Medical Image Processing Computer Vision Machine Learning Bioinformatics Python

Research Intern

Université de Moncton

Aug 2026 - Oct 2026 (2 months)

Investigated quantum machine learning approaches for breast cancer detection, exploring hybrid quantum-classical architectures and applying computer vision to mammographic data.

Quantum Machine Learning Deep Learning Medical Imaging Analytics Computer Vision Python

Software Development Intern

4KST

Aug 2025 - Jun 2026 (10 months)

Developed and maintained frontend interfaces and backend microservices using TypeScript, Node.js, and Express. Applied TDD and managed automated test suites, containerization with Docker, and version control via GitHub.

TypeScript NodeJS Express Python Docker NPM GitHub Test Driven Development Unit Testing Integration Testing E2E Testing TypeORM Drizzle

Research Intern

Data Science & Big Data Research Group

Jun 2023 - Aug 2024 (1 year 2 months)

Conducted research and development in machine learning and AI applied to computer vision for smart city monitoring. Implemented deep neural network architectures and published a paper at ICMLA 2024.

Machine Learning AI Computer Vision Data Engineering Deep Learning Siamese Networks Python