About
I'm an AI engineer and startup builder based in Copenhagen. I'm currently doing my MSc in Human-Centered AI at the Technical University of Denmark.
What I care about is the gap between an interesting model and a product someone actually wants to use. That’s pulled me toward rapid prototyping, full-stack development, and shipping AI systems with real users — adaptive learning platforms, voice agents, anomaly detection pipelines.
Currently
- On summer break from DTU
- Looking for my next opportunity in AI-engineering and startups
CV
Download PDFExperience
- AI Engineer & Co-founder — Stemma, Copenhagen
2026- Building a Danish-speaking AI phone assistant that handles real customer conversations, including appointment scheduling, bookings, and simple sales.
- Built and deployed a real-time voice AI pipeline combining ASR, LLMs, and TTS for natural phone conversations.
- Integrated telephony APIs, backend services, and business systems to enable end-to-end call automation.
- Working directly with pilot customers to validate product-market fit and continuously improve the product based on real-world usage.
- Leading product development from prototype to deployment as a technical co-founder.
- AI Engineer & Co-founder — Simbolic, Copenhagen
2025 – 2026- Built software infrastructure for engineering simulations with a focus on reproducibility and interoperability.
- Developed tooling to orchestrate simulation workflows across multiple engineering applications.
- Explored standardized interfaces for reproducible computational engineering pipelines.
- Worked on improving automation and developer experience for simulation workflows.
- Mathematics Tutor — Toptutors, Copenhagen
2021 – 2022- Tutored students in calculus, algebra, and probability.
- Designed interactive digital exercises using GeoGebra and TI-Nspire to improve conceptual understanding.
- IT & Legal Assistant — Mette Klingsten Law Firm, Copenhagen
2017 – 2019- Automated CRM workflows and document management processes.
- Built targeted email campaigns and supported the firm's digital operations.
Selected Projects
Full case studies on the projects page.
- EloQuiz.dk — Adaptive mathematics learning platform that personalizes question difficulty using an Elo-inspired rating system. Built the complete platform using Vue, Flask, Firebase, and the OpenAI API, and validated the concept through a student pilot.
- Anomaly Detection — Computer vision project for industrial defect detection using DINOv3 and the MVTec dataset. Implemented zero- and few-shot anomaly detection using embedding similarity and patch-level localization.
- Audio Classification — Deep learning pipeline for musical instrument recognition. Developed CNN and LSTM models capable of classifying 15 instrument classes with 96–98% accuracy.
- EasyLINC 2.0 — Accessible ride-ordering solution designed for elderly users. Led UX research, iterative prototyping, and user testing to improve accessibility and ease of use.
Education
- MSc Human-Centered Artificial Intelligence
Technical University of Denmark (DTU)
2025 – 2027
Focus areas include Deep Learning, Computer Vision, Computer Graphics, Human-AI Interaction, and Entrepreneurship. - BSc Artificial Intelligence and Data
Technical University of Denmark (DTU)
2020 – 2025
Bachelor's thesis: Adaptive Learning Systems (EloQuiz.dk)
Relevant topics included Machine Learning, Reinforcement Learning, MLOps, Software Engineering, and UX Design. - Economics
University of Copenhagen
Completed one year of undergraduate studies in Economics.
Technical Skills
Programming Languages
- Python
- TypeScript
- SQL
AI & Machine Learning
- PyTorch
- scikit-learn
- Deep Learning
- Large Language Models
- Voice AI
- OpenAI API
Backend
- FastAPI
- Flask
Frontend
- Vue.js
- React
Infrastructure
- Docker
- Firebase
- Supabase
- Vercel
Languages
- Danish (Native)
- English (Fluent)
Contact
- Email: williamhkp@gmail.com
- Website: williampeytz.com
- GitHub: github.com/WPeytz
- LinkedIn: linkedin.com/in/William-Peytz