HELLO, WORLD.
Research Scientist | Applied AI | Software Engineer
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I'm a problem solver at heart, driven by curiosity about how technology can tackle real-world challenges. My background is in computer science, with an M.Sc. and Ph.D. from CIn/UFPE (Brazil) and international experience as a visiting researcher at the Karlsruhe Institute of Technology (KIT, Germany).
I started as a full-stack developer, then spent five years as an Assistant Professor at IFAL — teaching ~400 students, founding the LEAD (Laboratory of Data Analysis and Engineering), and being elected Professor of the Year three consecutive years.
Today I'm a Research Scientist at Saint Louis University (Missouri, United States), building scalable AI models for plant disease detection, precision agriculture, and climate applications using remote sensing data.
Outside of work: surfing, hiking, and music — activities with much better signal-to-noise ratios than most datasets.
From full-stack developer to professor to research scientist — over 10 years building at the intersection of software engineering, AI, and academia. Currently a Research Scientist at Saint Louis University focused on GeoAI and remote sensing. Previously Assistant Professor at IFAL (2018–2023), founder of the LEAD Lab, and developer at Indra.
Ph.D. and M.Sc. in Computer Science from CIn/UFPE (Brazil), with international research at the Karlsruhe Institute of Technology (KIT, Germany). Elected Professor of the Year three consecutive years at IFAL. Research recognized through nationally funded projects and over 30 supported students at the LEAD Lab.
30+ scientific outputs spanning GeoAI, remote sensing, machine learning, data-driven systems, and software engineering. Research contributions include scalable models for plant disease detection, precision agriculture, and climate applications — published across peer-reviewed journals and international conferences.
Over five years teaching undergraduate and graduate courses in computing, AI, and software development at IFAL — reaching nearly 400 students. Courses span algorithms, software engineering, machine learning, and applied AI, with materials designed to bridge theory and real-world problem solving.
Open to research collaborations, consulting opportunities, and academic partnerships — especially in GeoAI, remote sensing, and applied machine learning. Based at Saint Louis University. Reach out if you are working on problems where AI meets the physical world.
