I am a software developer transitioning from cybersecurity consulting, now focused on building backend systems, automation, and AI-assisted workflows. After years of analyzing how systems break, I am now focused on building them. I specialize in Python backend development, system automation, and integrating LLMs into practical workflows.
Currently completing my Master's in Information Technology at the University of Turku, I am looking for early-career software engineering roles where I can combine my security mindset with my passion for building resilient, AI-enhanced applications.
In-progress AI engineering project focused on building structured LLM-driven workflows and backend systems for real-world use cases. Emphasis on reliability, data handling, and practical system design rather than one-off prompt solutions.
Voice assistant project focused on conversational interaction, local tooling, and practical assistant workflows. Built to explore natural language interfaces, command handling, and AI-assisted user experiences.
End-to-end Rock Paper Scissors League application built in both TypeScript and Python. The project demonstrates API integration, persistent storage, live updates with Server-Sent Events, validation, and clear backend architecture across two different stacks.
Python-based toolkit for API integration, network data retrieval, and automation workflows. Built around reusable scripts and practical client-side integrations for real-world data processing tasks.
Python-based automation toolkit designed to support system analysis and testing workflows. Built around modular components for data processing, task orchestration, and reusable automation patterns
Modular Python utilities for scripted analysis, monitoring support, and defensive workflow automation. Emphasizes reusable components and engineering structure over security branding.
Python host telemetry tooling for collecting, processing, and analyzing endpoint data. Focuses on data handling and monitoring-oriented systems scripting.
Hands-on SIEM lab and practical environment setup for log analysis and detection engineering.
Lab environments and configurations for platform hardening and security testing.
Exercises and implementations focusing on secure coding practices and vulnerability mitigation.
Practical lab environment for detection engineering and security monitoring workflows.
Designing and building AI-powered systems and backend workflows with a focus on practical applications and local-first architectures. Developing modular pipelines integrating LLMs, APIs, and structured data processing. Building end-to-end projects including voice interfaces and automation platforms.
Building and maintaining web-based applications and developer tools, including browser extensions and full-stack projects. Focus on API integration, system design, and clean, maintainable implementations.
Developed Python-based tools for data processing, monitoring, and workflow automation. Worked with structured data pipelines and system-level integrations.
Analyzed system architectures and networked environments to identify weaknesses and improve reliability. Built scripts and tooling to support analysis workflows and system validation.
Conducted independent analysis of web systems, focusing on identifying implementation issues and validating real-world impact through proof-of-concepts.
Earlier experience and additional roles available on LinkedIn.
