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 backend project exploring LLM-assisted analysis and API-driven workflows. Focused on practical integration, prompt orchestration, and structured data processing in real-world use cases.
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.
Full-stack TypeScript application integrating an external API, backend persistence, and live updates through Server-Sent Events. Built to demonstrate end-to-end application flow, real-time behavior, and structured data handling.
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.
Developed Python-based tools for automating data processing, monitoring, and reporting workflows. Built and tested scripts to support detection and analysis workflows, improving system efficiency. Processed telemetry data and transformed it into structured, actionable insights.
Analyzed Linux and networked systems to identify architectural weaknesses and failure points. Developed scripts and tooling to support testing workflows and improve analysis efficiency. Delivered structured recommendations to strengthen system reliability and resilience.
Conducts independent analysis of web and cloud systems, focusing on identifying logic flaws, misconfigurations, and implementation issues. Develops proof-of-concepts to validate real-world impact. Builds small tools and workflows to support testing and analysis.
Earlier experience and additional roles available on LinkedIn.
