Open to opportunities

Maciel Simões

@macielsimes

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Computer Engineer focused on machine learning and full-stack web development.

Portugal

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What I'm looking for

I’m looking for opportunities to apply machine learning and computer vision to real-world problems, while building reliable, user-focused web systems. I want teams where I can contribute through data-driven decisions, practical engineering, and continuous improvement.

I’m a Computer Engineer who builds applied AI systems and practical web applications. In my internship on “Foodrecognition with Machine Learning,” I developed a computer vision pipeline to detect, segment, and analyze food waste from images of plates after meals.

I applied YOLO for object detection and SAM for image segmentation, aiming to estimate waste-related metrics. I also addressed dataset imbalance by increasing data and generating artificial data for underrepresented classes, then combined this with model optimization for real-world AI use.

In another internship, I built a “Web Application for Canteen Management” to manage customers, dishes, and menus with CRUD operations and automatic credit deduction. I integrated RFID cards for secure transactions, and created an administrative panel with purchase history, sales metrics, and monthly revenue views—managing all data using Firebase Realtime Database.

Alongside internships, I’ve developed projects like a React Native (Expo) mobile app for nursing home management and an e-commerce web application using Bootstrap, CSS, HTML, Yii2, and SQL. I enjoy collaborating in diverse teams and applying programming and database fundamentals to deliver working, user-focused solutions.

Experience

Work history, roles, and key accomplishments

Internship - Food Recognition

Food Recognition

Oct 2025 - Jan 2026 (3 months)

Developed a computer vision system to automatically detect, segment, and analyze food waste from post-meal plate images. Applied YOLO for object detection and SAM for image segmentation, addressing dataset imbalance with augmentation and synthetic data generation.

Computer Vision Machine Learning Object Detection Segmentation YOLO SAM Roboflow

Internship - Canteen Web App

Canteen Management

Aug 2025 - Sep 2025 (1 month)

Built a web application to manage a canteen, including CRUD for customers, dishes, and menus with automatic credit deductions. Integrated RFID card handling for secure transactions, and added an administrative panel with purchase history and revenue/sales metrics using Firebase Realtime Database.

Web Application Development JavaScript React Firebase Realtime Database CRUD Operations RFID Integration Authentication Sales Analytics

Education

Degrees, certifications, and relevant coursework

Internship Project - Food Waste Monitoring

Internship Project, Machine Learning (Computer Vision)

2025 - 2026

Activities and societies: Roboflow; YOLO; SAM; dataset balancing via increased and generated data; model optimization.

Developed a computer vision system to detect, segment, and analyze food waste from meal plate images. Used YOLO for object detection and SAM for image segmentation, addressed class imbalance with data augmentation and synthetic samples, and optimized the model for real-world decision support.

Vilniaus Kolegija/University of Applied Sciences

Workshop, Software Development

2025 -

Activities and societies: ER diagrams for student registration; UI/usability; authentication, registration, and course management; testing strategies; simulated virtual testing.

Completed a crash course/workshop focused on designing a student registration system, including ER diagram design, UI/usability, and implementation of core features. Participated in testing-focused team activities for database-driven applications.

Internship Project - Canteen Management

Internship Project, Web Development

2025 -

Activities and societies: JavaScript; React; Firebase; CRUD for menus and customers; RFID-based secure purchases; admin dashboard with metrics.

Built a web application to manage canteen operations, including customers, dishes, and menus with CRUD functionality and automatic credit deduction. Integrated RFID card handling for secure transactions and added an admin panel with purchase history, sales metrics, and monthly revenue views using Firebase for data management.

Escola Superior de Tecnologia e Gestão

Computer Engineering

2023 - 2026

Pursuing undergraduate studies with practical collaboration in diverse teams and multiple programming projects. Coursework included building applications such as a nursing home management app, an e-commerce sneakers site, and systems for banking, veterinary management, database management, and medical support.