> few words
I build things that need to be trusted — and break things that shouldn't be.
Software engineer with a BSc in Digital Systems from the University of Piraeus, with an Erasmus semester at Stockholm University. Specializing in AI/ML, Information Security, adversarial robustness, and trust engineering for Generative AI systems.
By day, I engineer trust and reliability into AI systems — from prompt injection defense and hallucination mitigation to evaluation frameworks for agentic AI. By night, I'm probably reverse-engineering something, reading threat reports, or over-engineering a personal project (exhibit A: this website).
Greece Section Co-Lead for IEEEXtreme 18.0, IEEE member, and 2-year volunteer with the University of Piraeus "Kerykes" team. Previously served as a programmer/analyst in the Hellenic Army and built four full-stack web applications from scratch as a freelancer.
Based in Trondheim, fueled by curiosity, passion, and a mild obsession with making machines behave.
> experience
Full-Stack Agentic AI Engineer
Oct 2025 — present
Superbo AI · Full-time · Remote
Designing and building full-stack agentic AI solutions end-to-end, from backend architecture to prompt engineering and custom agentic tooling.
In addition to the above, I’m making sure our systems are safe and trustworthy by developing evaluation frameworks for robustness, implementing MLOps pipelines for secure deployments, and providing solutions to critical AI risks. Hallucinations, prompt injection, and adversarial attacks are examples of such risks. Embedding reliability and trust throughout product development.
Available upon request: Chief Officers’ Recommendations.
In addition to the above, I’m making sure our systems are safe and trustworthy by developing evaluation frameworks for robustness, implementing MLOps pipelines for secure deployments, and providing solutions to critical AI risks. Hallucinations, prompt injection, and adversarial attacks are examples of such risks. Embedding reliability and trust throughout product development.
Available upon request: Chief Officers’ Recommendations.
Agentic AI
LLMs
MLOps
AI Safety
DevSecOps
Freelance Software Engineer
Jul — Sep 2025
Freelance · Remote
Led the end-to-end development of four full-scale web applications from scratch — domain setup, database design, CMS development and integration, email service integration, back-end logic, front-end logic and UX, a custom design language applied across the user interface, and robust measures to ensure security and data privacy.
Next.js
React
Full-Stack
CMS
UI/UX
Computer Programmer & Analyst
Dec 2024 — Jul 2025
Hellenic Army · Full-time · On-site
While fulfilling military obligations, worked for the Office of Research and Computer Science (ORCS) of the 79th Higher Guard Battalions Command (HNGBC) as a Computer Programmer and Analyst.
Web Development
DevOps
Linux
System Administration
Data Migration & Compliance Consultant
Apr — Nov 2024
Energy Way S.r.l. · Full-time · Hybrid
Executed secure and compliant data migrations across digital platforms, ensuring adherence to information security, privacy regulations, and data integrity standards. Actively prioritized system compatibility, risk mitigation, and customer satisfaction throughout each transition phase.
Data Migration
Compliance
InfoSec
Privacy
Digital Innovation & Transformation Consultant
Jan — Apr 2024
Energy Way S.r.l. · Contract · Hybrid
Drafting and evaluating municipal project proposals under the "Digital Reform of Municipalities" program, focusing on technical feasibility, budget alignment, implementation planning, and strategic planning for co-funded ICT initiatives. Ensured alignment with best practices in information and systems security.
Digital Transformation
ICT
Strategic Planning
> education
MSc Digital Infrastructure & Cybersecurity
Aug 2026 — Present
Norwegian University of Science and Technology (NTNU)
Department of Information Security and Communication Technology. Full-time MSc spanning 2 years.
Digital Infrastructure
Network Security
Infromation Security
Cybersecurity
BSc Digital Systems
2020 — 2025
University of Piraeus — School of ICT
Department of Digital Systems. Coursework spanning computer science, information systems, telecommunications, algorithms, and mathematics. Greece Section Co-Lead for IEEEXtreme 18.0. Member of IEEE UniPi Student Branch (2 years).
Network Security
Full-Stack
Cryptography
Software Engineering
Erasmus Exchange — Computer & Information Sciences
2023 — 2024
Stockholm University — Dept. of Computer and Systems Sciences
Erasmus exchange semester. Courses included Research Topics in Data Science (Master's), Citizen Centric Service Design & IT Architecture (Master's), Enterprise Computing & ERP Systems (Master's), and Internet of Things Services. Member of Stockholm University Student Union and DISK Student Union.
Research
IoT
ERP
Data Science
CTY Greece — Computer Science
2015
Johns Hopkins CTY at Anatolia College
Summer school program covering web development (front-end & back-end), C/C++ application development, game development with Unity, principles of software engineering, algorithm analysis, robotics, and game theory.
C/C++
Web Dev
Game Dev
Robotics
> publications
Information Security and Privacy in Smart Edge Computing and IoT Applications
Feb 2025
BSc Thesis · Supervised by Prof. S. Gritzalis, University of Piraeus
Explores AI, Edge Computing, and IoT with a focus on security and privacy risks. Analyzes vulnerabilities, authentication mechanisms, encryption techniques, intrusion detection systems, and secure communication protocols. Examines privacy protection strategies including data anonymization and user consent management, alongside legal and ethical frameworks.
IoT
Edge Computing
Cryptography
Privacy
Machine Learning and Security in System Vulnerability Detection and Prevention
Feb 2024
Review Paper · Stockholm University
A review of ML tools and techniques across multiple layers of information systems and IoT ecosystems for vulnerability detection and prevention. Evaluates methods for fortifying systems against breaches as cybercrime costs continue to rise exponentially.
Machine Learning
Cybersecurity
IDS
Applying Deep Learning and Data Analytics to identify Malware Attacks
Jan 2024
Research Paper · Stockholm University
Evaluates RNN, LSTM-RNN, and CNN architectures for detecting cyber-attacks within network traffic. Investigates the efficacy of deep learning algorithms in binary classification of malware samples and optimizing detection efficiency.
Deep Learning
CNN
RNN
Malware Analysis
> certifications
25 credentials & certifications
Microsoft — Security Essentials Professional
LinkedIn — Cybersecurity Threat Landscape
LinkedIn — Cybersecurity Foundations
LinkedIn — Microsoft Security Essentials
LinkedIn — GenAI for Business Leaders
LinkedIn — Prompt Engineering for GenAI
LinkedIn — GenAI: Thoughtful Online Search
LinkedIn — What Is Generative AI?
LinkedIn — Ethics in the Age of GenAI
LangChain — Deep Research with LangGraph
LangChain — Ambient Agents with LangGraph
LangChain — Deep Agents with LangGraph
LangChain — Agent Observability & Evaluations
LangChain — Introduction to LangGraph
IEEE — IEEEXtreme 18.0 Co-Lead
IEEEXtreme — 18.0 Coding Competition
IEEE — SOC Efficiency for AWS Cloud
Yale — The Science of Well-Being
IBM — Data Analytics
NCSR Demokritos — ROS2 Workshop
NCSR Demokritos — 59th Summer School of Sciences
NCSR Demokritos — 58th Summer School of Sciences
Johns Hopkins CTY — Engineering Design
Johns Hopkins CTY — Filmmaking
Volos Astronomy Society — Astronomy & Astrophysics
> technical skills
AI / Machine Learning
Cybersecurity
LLMs & Agentic AI
Full-Stack Development
DevSecOps
Cloud Computing
IoT & Edge Computing
Data Science
> soft skills
Adaptability
Critical Thinking
Fast Learner
Multitasking
Problem Solving
Project Management
> languages
Greek native
English C2 · University of Michigan
French B2 · Sorbonne Université
> volunteering
Student Volunteer
2023 — 2024
"Kerykes" Volunteer Team, University of Piraeus
Two (2) years of education volunteering with the university's official volunteer team.