CV
Copenhagen, Denmark
Profile
AI engineer and startup builder pursuing an MSc in Human-Centered AI at DTU. Focused on building real-world AI systems, from adaptive learning platforms to voice-based AI agents handling live customer interactions. Strong in rapid prototyping, full-stack development, and applying machine learning to real user problems.
Experience
- AI Engineer & Cofounder — Stemma, Copenhagen
2026 – Present- Building Danish-speaking AI phone assistant for handling inbound calls (scheduling, bookings, sales).
- Designed and deployed a real-time voice pipeline (ASR → LLM → TTS).
- Integrating telephony APIs and backend systems for live call handling.
- Running pilot customers to validate product-market fit and quantify missed-call conversion.
- AI Engineer & Cofounder — Simbolic, Copenhagen
2025 – 2026- Built infrastructure for orchestrating engineering simulations across tools.
- Explored standardized interfaces for reproducible simulation workflows.
- Mathematics Tutor — Toptutors, Copenhagen
2021 – 2022- Tutored calculus, algebra, and probability. Developed custom digital exercises with GeoGebra and TI-Nspire.
- IT & Legal Assistant — Mette Klingsten Law Firm, Copenhagen
2017 – 2019- Automated CRM workflows and document handling. Designed targeted email campaigns.
Selected Projects
Full case studies on the projects page.
- EloQuiz.dk — Adaptive math learning platform with an Elo-based difficulty system. Full-stack (Vue, Flask, Firebase, OpenAI API), validated through a student pilot.
- Anomaly Detection — Zero- and few-shot industrial defect detection using DINOv3 on the MVTec dataset. Embedding similarity and patch-level anomaly localization.
- Audio Classification — CNN/LSTM models classifying 15 instruments. Achieved 96–98% accuracy with tuning and validation.
- EasyLINC 2.0 — Ride-ordering solution for elderly users with focus on accessibility. Led iterative UX prototyping and user testing.
Education
- MSc Human-Centered Artificial Intelligence — Technical University of Denmark (DTU)
2025 – 2027
Courses: Deep Learning, Computer Vision, Computer Graphics, X-Tech Entrepreneurship. - BSc Artificial Intelligence and Data — Technical University of Denmark (DTU)
2020 – 2025
Thesis: Adaptive Learning Systems (EloQuiz.dk).
Relevant: Machine Learning, Reinforcement Learning, MLOps, UX Design, Software Engineering. - Economics (1 year) — University of Copenhagen
Skills
- ML: PyTorch, scikit-learn, deep learning
- Backend: Python, Flask, FastAPI
- Frontend: Vue.js, React
- Infra: Docker, Firebase, Supabase, Vercel
- AI: LLMs, voice pipelines, OpenAI API
Languages
- Danish (native)
- English (fluent)