Builder at heart. Was programming in C and Python during law school long before genAI hit, and have never stopped since. Law by day, code by night. During my initial law studies at WU Vienna, I took every AI and legal-tech elective offered and wrote my Master's thesis on AI training data, but what I loved most was happening at night. At École 42, a project-based programming school with no lectures and no professors, I taught myself programming from the ground up. I built a Bash shell replica from scratch (pipes, signals, and all) and two graphical video games, spending many nights debugging programs that crashed unexpectedly and deciphering intricate 1970s C documentation until they finally worked. I kept building throughout law school, including building agentic AI systems at UN, UNIDO, and KCL hackathons. The two threads finally came together when I enrolled in the first-of-its-kind Dual LL.M. in Law, Innovation, and Technology at King's College London and Università Bocconi, where I was supported by a merit-based scholarship and graduated with Distinction. I still code by night, following every release, reading every interesting repo, prototyping constantly with Claude Code and the Agent SDKs. By day, I am a TMT Associate at a large international law firm active across Central and Eastern Europe, advising international clients on data protection, AI, and cybersecurity. I am also a core member of the firm's legal engineering and digital transformation initiative, where I shape strategy and roadmap development and develop LLM-based solutions (Agent SDKs, workflow orchestration, tools, MCP servers, etc.). I am working closely alongside lawyers, IT, and operations. The hard part is never to prototype, it is building solutions that attorneys actually trust and adopt.