Ariel Alsina
Machine Learning Engineer at Laboratório de Computação Inteligente Aplicada (LACINA)
Rio Grande do Norte, Brazil
Summary
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Senior🎓
Top SchoolAriel Alsina is a Machine Learning Engineer with eight years of hands-on experience building data-driven systems, from ETL pipelines and ElasticSearch-backed document repositories to deep reinforcement learning agents trained on a university supercomputer. He combines dual bachelor’s degrees in Computer Technology and Computer Engineering from UFRN with practical skills in Python, C++, Docker, AWS, parallel programming and a working knowledge of Rust. His background spans public sector data engineering, full‑stack web development, and research projects that applied TensorFlow/PyTorch for Q‑learning in StarCraft II and multi-animal tracking using Kalman filters and feature descriptors. Comfortable moving models from experiment to production, he has also maintained automation tools like a WhatsApp ingestion bot and Power BI dashboards for strategic decision-making. Known for solving messy real-world problems, Ariel blends high-performance computing instincts with pragmatic infrastructure and data-security sensibilities.
8 years of coding experience
4 years of employment as a software developer
Federal University of Rio Grande do Norte
Portuguese, English, Italian, Spanish
Github Skills (6)
openai-gym9
deep-reinforcement-learning8
modular6
python6
reinforcement-learning5
deep-learning5
Programming languages (1)
Github contributions (5)
Cogitus/Self-Organized-Maps-first-steps
Jun 2019 - Aug 2019
Contributions:22 commits, 21 pushes, 1 branch in 2 months
Cogitus/Cogitus
Apr 2022 - Aug 2023
Contributions:6 pushes in 1 year 4 months
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