Eduardo Magalhães
CTO & Co-founder at aignosi Brasil
Minas Gerais, Brazil
Summary
👤
Senior🎓
Top SchoolEduardo Magalhães is a CTO and co-founder with 8 years of focused experience building AI and data-science solutions for industrial and manufacturing transformation. He founded and scaled product and SaaS initiatives—most recently leading SIENTIA™ at aignosi—to drive process optimization, predictive maintenance, and data-driven decision making. Previously he grew and led data science teams at IHM Stefanini and launched a customer data platform startup, blending hands-on engineering with product and go-to-market sensibilities. Trained in control systems and deep learning (M.Sc. in process control, deeplearning.ai), he uniquely combines industrial process control expertise with modern ML to move research into production. Based in Minas Gerais, Brazil, he brings a practitioner’s eye for operational efficiency and a founder’s appetite for building repeatable, impact-focused AI products.
8 years of coding experience
12 years of employment as a software developer
University of California, San DiegoSpecialist Oil and Gas, Specialist Oil and Gas at Faculdades Integradas de JacarepaguáM.Sc Modeling and control of industrial process adaptive control and proces optimization, M.Sc Modeling and control of industrial process adaptive control and proces optimization at Universidade Federal de Minas GeraisSpecialization Deep Learning, Specialization Deep Learning at deeplearning.aiBachelor Electrical Engineering, Bachelor Electrical Engineering at Vale do Rio Doce UniversityStartup School, Startup School at Y Combinator
Github Skills (50)
system-identification10
discord9
data-validation9
pandas-dataframe9
dynamical-systems9
sparse9
nonlinear-dynamics9
projeto9
jupyter-notebook9
que8
machine-learning8
structural-engineering8
validation8
data-quality8
nonlinear8
Programming languages (2)
Github contributions (5)
ihmstefanini/junior-datascience-challenge
Oct 2021 - Feb 2023
Contributions:9 commits, 8 pushes in 1 year 3 months
ihmstefanini/pandorabox
Jan 2021 - Aug 2021
Análise de viabilidade do potencial preditivo de um problema industrial em minutos!
Contributions:1 release, 74 commits, 2 PRs in 7 months
data-analysispythondata-sciencedeep-learningindustrial
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