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Gabriel MarcondesGM
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Gabriel Marcondes

@gabrielmarcondes

Computer Science student specializing in Python, Machine Learning Engineering and production-ready ML solutions.

Brazil
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What I'm looking for

I seek a junior or an intership role in Data/ML/AI within an international, collaborative team working on real-world problems where I can grow technically and contribute to production-ready systems.

I build end-to-end machine learning systems for physiological signals (EEG), from preprocessing to deployment. In Motor Imagery BCI Classification, I combined EEGNet (PyTorch) with a classical CSP + LDA baseline on the BCI Competition IV 2a dataset, reaching 70.3% accuracy on a 4-class problem. In Detecting Burnout via EEG, I built a subject-independent Few-Shot Learning pipeline with MNE-Python preprocessing, ablation studies to prevent data leakage, and a FastAPI interface with Explainable AI (XAI) cortical heatmaps. I also work on automatic sleep stage classification (ISRUC-Sleep III), which is the basis of my undergraduate thesis on cross-dataset generalization — improving model robustness across different dataset

Experience

Work history, roles, and key accomplishments

Personal Project logoPP

Machine Learning Engineering

Apr 2026 - Jul 2026 (3 months)

Automatic classification of sleep stages from single-channel EEG signals, using feature extraction and a combination of classifiers based on the ISRUC-Sleep Cohort III dataset

Education

Degrees, certifications, and relevant coursework

Federal University of Technology – Paraná logoFP

Federal University of Technology – Paraná

Bachelor of Science, Computer Science

2023 -

Grade: 6

Activities and societies: Software Engineering, Data Base, Data Structure I & II, Pattern Recognition, Computational Intelligence

Pursuing a Bachelor of Science in Computer Science with emphasis on data science and applied AI; expected to graduate in 2027.

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