Cassius Puodzius
Cybersecurity & AI EngineerI’m a cybersecurity and AI engineer with a background spanning research, engineering, and applied security work. My professional path has been shaped primarily by cybersecurity, where I’ve worked on problems ranging from threat analysis and defensive systems to applied machine learning in security contexts.
Over time, my interests have expanded toward artificial intelligence and intelligent systems more broadly. I’m particularly interested in how AI can be used to solve complex, real-world problems—especially, but not exclusively, in security-sensitive environments.
This website is a personal space for technical writing and reflection. It’s not a record of my day-to-day professional work, nor an attempt to document everything I build. Instead, it’s a place where I explore ideas, approaches, and lessons that emerge from practice, research, and ongoing learning.
Work Experience
Nokia2025 - Present
Senior AI/ML Cyber Security Engineer & Software Architect- Architecting and leading the integration of LLM-based capabilities into production-grade XDR platform.
- Defining AI-driven detection and investigation workflows for large-scale telecom environments.
2022 - 2025
Cyber Security Engineer- Contributed to the integration of LLMs into production-grade XDR platform.
- Conducted R&D in Cyber Threat Intelligence for telecom environments.
INRIA2019 - 2022
PhD Candidate- Research on Data-driven Malware Classification using Machine Learning.
2018 - 2019
R&D Engineer- Research and development of tools for malware analysis and techniques of machine learning for malware detection.
ESET2016 - 2018
Security Researcher- Security Researcher dedicated to tracking and hunting of Brazilian cyberthreats.
- Conference talks, mentoring and contribution to WeLiveSecurity blog.
BTG Pactual Bank2013 - 2016
Security Officer- Early member of the Security Office, primarily responsible for application security while contributing to broader security initiatives.
Teaching Experience
Université de Rennes I2019/2020 - Winter Semester
Teaching Assistant- Lecturer for the Malware Analysis module — Introduction to Cybersecurity (M1)
2018/2019 - Winter Semester
Teaching Assistant- Lecturer for the Malware Analysis module — Introduction to Cybersecurity (M1)
ECAM Rennes – Louis de Broglie2019/2020 - Winter Semester
Teaching Assistant- Instructor for the Java Laboratory — Object-Oriented Programming (L2)
Studies
Université de Rennes I2019 - 2022
Doctor of Philosophy (PhD)Data-Driven Malware Classification Assisted by Machine Learning MethodsUniversidade de São Paulo (USP)2009 - 2014
Integrated MEng in Computer EngineeringTechnische Universität Darmstadt2012 - 2013
Exchange Program