Experience

  1. Professor

    Instituto Infnet
    Instructor for the DevOps course in the Software Engineering postgraduate program at MIT, with a focus on the .NET platform. Also served as Instructor for the LPIC-1 Fundamentals and Administration and LPIC-1 Advanced Administration courses in the Network Engineering postgraduate program at MIT.

  2. Professor

    CESAR School

    I’m a Professor of Network Architecture, teaching in Stricto Sensu (Undergraduate, Master’s and PhD programs).

    I focus on developing the next generation of professionals and researchers in exciting fields like Cybersecurity, Artificial Intelligence, Adaptive Systems, and Cloud Computing.

  3. Researcher

    CISSA/CESAR

    Research Assistant at CISSA (Integrated Center for Security in Advanced Systems) at CESAR, where I focus on enhancing cybersecurity solutions through research in distributed systems and artificial intelligence.

    Topics include but are not limited to attack detection and prevention analysis, threat mining, forensic analysis, incident response, and correlations of anomalous behaviors in networks and systems.

    • Focused on cybersecurity, aiming to find solutions that ensure the security and integrity of people’s interactions in the digital environment.
    • Empowering organizations to identify, understand, prevent, and respond more effectively to known and unknown threats.

  4. Developer II

    SENAI Innovation Institute for Information and Communication Technologies
    I support multiple teams by automating infrastructure management and streamlining processes. My expertise includes creating scalable cloud environments (AWS), containerisation (Docker), and workflow automation. I also configure services, manage databases, set up VPNs, and work with identity providers. Additionally, I utilise CI/CD tools (Jenkins, GitHub Actions) for efficient deployments and leverage Python for automation.

  5. Researcher Intern

    The University of British Columbia (UBC)
    I Conducted research as a Visiting International Research Student (VIRS) at the Systopia Lab, focusing on the design and development of novel solutions for bottleneck detection in microservices within dynamic production environments. Applied skills in Root Cause and Anomaly Detection, Microservices, and Graph Neural Networks. Gained hands-on experience with Linux, Kubernetes, and Virtual Machines.

Education

  1. PhD AI and Distributed Systems

    Universidade Federal de Pernambuco
    Thesis on Proactive adaptation of microservice-based applications. Supervised by Nelson Rosa and George Cavalcanti. Published papers at one Springer journal, one Elsevier journal and one IEEE conference. The computer science program ranks among the top seven most esteemed programs in Brazil
    Read Thesis

  2. MSc AI and Distributed System

    Universidade Federal de Pernambuco
    Thesis on Adaptation of microservice-based applications using machine learning. Supervised by Nelson Rosa and George Cavalcanti. Published papers at one SBRC conference. The computer science program ranks among the top seven most esteemed programs in Brazil
    Read Dissertation (Portuguese)

  3. BSc in Computer Science

    Universidade do Estado do Rio Grande do Norte

    Summa Cum Laude Graduate (IRA/GPA: 9.2/10)

    Research & Development:

    • Developed augmented reality games for motor coordination in children;
    • Implemented and monitored service compositions in dynamic business environments, focusing on runtime verification with formal techniques.

    Teaching Assistant: Calculation for Computing, Physics, and Numerical Calculation.

Awards
Outstanding Professor
CESAR School ∙ June 2025
Awarded for excellence in teaching and significant contributions to the Cybersecurity undergraduate course at CESAR School. This recognition highlights a commitment to fostering student engagement.
Honorable Mention
SBRC ∙ May 2019
I Received an honorable mention at the selective Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) 2019 for my paper on TrendsBot. This work explores the use of data stream processing to verify the veracity of Telegram messages, contributing to the fight against misinformation. The recognition highlights the paper’s originality and potential impact in the field of real-time data analysis and misinformation detection.
See certificate
Summa Cum Laude Undergraduate Computer Science program
Universidade do Estado do Rio Grande do Norte ∙ February 2017
Awarded to the top-ranking student in the undergraduate Computer Science program, recognizing exceptional academic performance throughout my studies.
See certificate