A PDF version of this CV (with publications included) can be found here.

I am working as an A/B testing method expert at Volvo Cars. I aim to bring causal inference and data-driven decision-making into automotive software development.

I concluded my Ph.D. in Software Engineering in the Department of Computer Science and Engineering at Chalmers University of Technnology (2021). My Ph.D. project was funded by the Wallenberg AI Autonomous Systems and Software program (WASP) and my research is conducted in close collaboration with industry in the context of the Software Center.

Current employment

• Volvo Cars (August/2021 - Current): I am working as an A/B testing method expert in the Analytics and Artificial Inteligence team.

Education

• Ph.D. in Software Engineering at Chalmers University of Technology, Sweden (04.2016 – 08.2021).

  • Thesis: On Experimentation in Software Intensive Systems
  • Project: Data-driven evolution of software systems.
  • Main supervisor: Jan Bosch – Chalmers University of Technology
  • Co-supervisor: Helena Holmström Olsson – Malmö University

• Licentiate of Engineering in Computer Science and Engineering at Chalmers University of Technology, Sweden (2016.04.01– 2018.10.26).

  • Project: Data-driven evolution of software systems.
  • Licentiate Thesis: Towards Automated Experiments in Software Intensive Systems
  • Main supervisor: Jan Bosch – Chalmers University of Technology
  • Co-supervisor: Helena Holmström Olsson – Malmö University

• M.Sc. in Electronic Systems and Devices at the Aeronautics Institute of Technology, Brazil (03.2015 – 03.2016).

  • Master Thesis: “Autonomy implementations for a low-cost autonomous surface vehicle using the MOOS-IvP software”.
  • Foundation of Personnel and Training Coordination (CAPES) scholarship from the Brazilian Government.
  • Main supervisor: Cairo Lúcio Nascimento Jr.
  • Co-supervisor: Douglas Soares do Santos

• B.Sc. in Electronics Engineering at the Aeronautic Institute of Technology, Brazil (01.2010 – 12.2014).

  • Study emphasis in embedded systems, autonomous navigation and control systems.
  • Honors in the Human Studies Department
  • Main supervisor: Cairo Lúcio Nascimento Jr.
  • Co-supervisor: Douglas Soares do Santos

Teaching

• Empirical Software Engineering (DAT246/DIT278) for the Master Program at Chalmers University of Technology (2017-2020)
  • Classes in statistics, experimental design and group supervision
• Research Methods in Software Engineering (DIT831) for the Bachelor Program in Software Engineering and Management at Gothenburg University (2017-2021)
  • Classes on survey and experimental design analyses
  • Group supervision for experiments and case studies
• Quality Management (DIT845) for the Bachelor Program in Software Engineering and Management at Gothenburg University (2017)
  • Group supervision and assignments

Thesis supervision

Master Thesis

• (2020) Evaluating the applicability of benchmark functions on optimization algorithms
• (2020) Developing and analyzing a Bayesian Python package for the Plackett-Luce model.
• (2019) Continuous experimentation for software organizations with low control of roadmap and a large distance to users: A case study - Resulted in a full paper presented at PROFES 2019 Paper

Bachelor Thesis

• (2019) An analysis of software engineering practices in R packages available in the CRAN

Other professional experience

• Internship at the Intelligent Machines Laboratory at the Aeronautics Institute of technology. Research on autonomous vehicles and autonomous navigation (08.2014 – 11.2014).
• Internship at EMBRAER (the Brazilian aircraft company). Feed-forward strategies for disturbance rejection (07.2014 – 08.2014).
• Internship at EMBRAER (the Brazilian aircraft company). Research on control laws for an air intake thermal valve aiming at disturbance rejection in aircrafts (01.2014 – 03.2014)
• Internship at Itaú-Unibanco. Economic research in vehicle leasing in Brazil at one the ten largest banks in the world (01.2012 – 03.2012).
• Reserve Military Officers Preparation Center of the Brazilian Air Force (01.2010 – 12.2010).

Other skills

• Software engineering
• Electronics engineering (signal processing, autonomous systems and control systems)
• Knowledge on different programming languages (C, C++, Python, R, Javascript etc..) and frameworks (Vue, MOOS-IvP, ROS, Keras, TensorFlow, Flask, Hugo etc…)
• Causal inference
• Bayesian and frequentist statistics
• Machine learning (supervised and reinforcement learning)
• Research methods (case studies, action research, design science, controlled experiments, quasi experiments, experimental design)
• Team-working skills

Last update: 2021-01-10 00:00:00 +0000 UTC.