Diego Cavalca
Engenheiro De Dados at Genoa Performance
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolDiego Cavalca is a data engineer and AI practitioner with 10 years of experience building end-to-end data pipelines, production ML models and automation solutions from São Paulo. Currently leading data engineering projects at Genoa Performance, he previously developed NLP and audio-pattern models—producing multiple sentiment models, streaming-audio analysis PoCs and several production web scrapers. He has a strong academic background (MSc with research on ML for Smart Grid and PhD studies in AI) and blends research rigor with hands-on skills in Python, Kafka, Azure, Docker and modern ML toolkits. As a former professor and mentor, he regularly translates complex concepts into practical training and production-ready systems. Notably, he has shipped high-impact NLP pipelines for noisy, imbalanced document corpora achieving strong F1 results and built mel-spectrogram–based audio classifiers that moved from PoC to deployed components.
10 years of coding experience
9 years of employment as a software developer
Análise e Desenvolvimento de Sistemas, Tecnologia em Informática/Software, Análise e Desenvolvimento de Sistemas, Tecnologia em Informática/Software at UnilinsComputer Technician, Tecnologia da Informação, Computer Technician, Tecnologia da Informação at Etec Profª Helcy M. M. AguiarDoutorado, Inteligência Artificial, Doutorado, Inteligência Artificial at Universidade Federal de São CarlosMestrado em Ciências da Computação, Artificial Intelligence, 3.86/4.00, Mestrado em Ciências da Computação, Artificial Intelligence, 3.86/4.00 at UFSCar - Universidade Federal de São Carlos
Portuguese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
science9
machine-learning8
data-science8
computer-science6
text-mining5
mining5
tableau4
r4
dataframes4
data-mining4
datasets4
regression4
classification4
python4
clustering4
Programming languages (4)
Github contributions (5)
diegocavalca/education
Jan 2016 - Oct 2019
Materials and resources of studies in Computer Science.
Contributions:24 commits, 12 pushes, 1 branch in 3 years 9 months
computer-sciencescience
diegocavalca/machine-learning
Apr 2017 - Mar 2019
Experiments, algorithms and reports in machine learning reseach.
Contributions:28 commits, 1 PR, 22 pushes in 1 year 11 months
reportsmachine-learningreseachdata-science
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