Research Scientist
fortiss GmbH, Munich
Advisor: Prof. Dr. Daniel Mendez
I love solving real-world problems with code, data, and technology. My current professional focus lies in building data-driven solutions, from running experiments to production, following software engineering best practices to ensure quality attributes such as maintainability, scalability, and robustness.
Experience in diverse projects encompassing:
I also enjoy writing technical articles 📝 that are published in top-tier computer science conferences and journals, covering topics such as:
Recently, I co-authored a book (in Portuguese) 📕 about software engineering for data science. This publication has assisted over 2k practitioners in building Python-based machine learning systems, adhering to software engineering best practices.
Outside of work, you will often find me staying active in various ways! 😃 Whether it's:
Feel free to contact me if you believe I can contribute to the objectives of your organization or if you are a researcher seeking collaboration.
Ph.D. in Computer Science
PUC-Rio, Brazil
Grade Point Average (GPA): 9.7/10
Advisor: Prof. Dr. Marcos Kalinowski
Doctoral Thesis: PerSpecML
M.Sc in Computer Science
PUC-Rio, Brazil
Grade Point Average (GPA): 9/10
Advisor: Prof. Dr. Marcos Kalinowski
Master’s Thesis: Link to the main publication
B.Sc in Information Systems
National Univeristy of Colombia
Grade Point Average (GPA): 4/5
Advisor: Prof. Dr. Ana Lorena Uribe Hurtado.