Trained in machine learning, with three years at Tesla building LLM tools, data pipelines, analytics and automations. Most of that work happened side by side with business teams: scoping problems with them, building the solution, and training people to use it.
Experience
Software Engineer at Tesla
2025 – Present
Amsterdam, Netherlands
- Engineered an English-to-SQL system with retrieval and an LLM query generator, speeding team query writing 5x and reaching 7 teams.
- Built Airflow ETLs and CI/CD processes for three compensation tools, two taxation tools, a job description library and a leadership scorecard app.
- Built an EMEA job description library app supporting 1,200 managers and 180 HR and recruiters with integrated version control and approvals.
- Raised engineering and AI capability across the team through enablement in AI coding tools, API-based deployment, secure token and Vault governance, and production application delivery; selected to co-lead EMEA AI Office Hours.
Founder at Origami CV
2025 – Present
Netherlands
- Resume tool that interviews you, optimises your content for the job, and lets you fine-tune every detail of the layout.
- In post-launch hypercare stage, attracting 1000+ users monthly. Shipping fixes and improvements based on usage analytics and user feedback.
- Tech stack: Next.js, React, TypeScript, Tailwind CSS, FastAPI (Python), PostgreSQL, PostHog, Playwright (PDF rendering) and Docker.
Associate Software Engineer at Tesla
2023 – 2025
Amsterdam, Netherlands
- Automated promotion-letter generation, distribution, and signature tracking for ~800 promotions each half-year using Airflow and hash-based detection.
- Built OpenCV preprocessing and OCR to extract machine-readable zone fields from passports across EMEA and NA. Processed 69,000 passport documents for United States H1B visa-lottery submissions; validated extracted data and finding fraudulent nationality records.
- Trained 150 people in Power Automate notification workflows, enabling 7 teams to build automations independently.
- Audited 50+ security groups against business mappings, identifying invalid access for 3,000 people across EMEA.
Data Analytics Intern, Automation at Tesla
2023
Amsterdam, Netherlands
- Automated recruitment job feeds to 11 German job boards, increasing applications in the region by 14% and ensuring daily role updates.
- Reduced Recruitment Coordination team workload by 15% (equivalent to EUR 50k annual salary) by automating interview reminders and availability requests across EMEA.
Student Member of Policy Advocacy Committee at United Nations
2020 – 2021
Remote
- Co-author: PCUN's Statement in Commemoration of the United Nations' World Health Day 2021.
- Reviewer: SPSSI's Statement for the United Nations' 54th Commission on Population and Development.
Research Assistant, Radicalisation at University of Amsterdam
2020 – 2021
Amsterdam, Netherlands
- Researched radicalisation interventions in collaboration with TNO and the Dutch government, supervised by Dr Allard Feddes.
Education
MSc Artificial Intelligence at University of Amsterdam
2023 – 2025
Amsterdam, Netherlands
- Thesis: Developed and evaluated a diffusion-based SE(3) motion prior with KDE corrections, reducing pose prediction error (simulated ATE) from 1.7833 to 1.0725; graded 8.5/10.
- Developed three ROS2 autonomous-robot navigation pipelines for perception, localisation, and mapping, achieving the highest group grade, 9/10.
- Investigated crosscoder representations across three transformer model pairs, identifying shared and model-specific features through controlled activation comparisons.
Open Pre-Master's, Artificial Intelligence at Vrije Universiteit Amsterdam
2024
Amsterdam, Netherlands
- Electives in graph and network theory, multivariate calculus, linear algebra, information systems, probability theory and logic.
BSc Political Science at University of Amsterdam
2020 – 2024
Amsterdam, Netherlands
- Second bachelor's, studied in parallel with Psychology.
- Electives in scientific programming and data processing.
BSc Psychology at University of Amsterdam
2019 – 2022
Amsterdam, Netherlands
- Honours student, GPA 8.3.
Skills
- Machine Learning
- PyTorch, Hugging Face Transformers, TensorFlow, scikit-learn; model design, training and evaluation, LoRA fine-tuning, distillation, diffusion models, reinforcement learning
- LLMs & Interpretability
- Retrieval, text-to-SQL, LangChain, OpenAI API, crosscoders, TransformerLens
- Computer Vision & Robotics
- OpenCV, OCR, YOLO, NeRF, 3D segmentation, Open3D, ROS2, SLAM
- Software
- Python, TypeScript, JavaScript, R, SQL (PostgreSQL, MySQL, SQL Server), React, Next.js, Node.js, FastAPI, Tailwind CSS
- Data & Automation
- Apache Airflow ETLs, Power Automate, Playwright, web drivers, XML feeds, document and notification automation, Power BI, Tableau
- DevOps & Cloud
- Docker, Kubernetes, Jenkins, CI/CD, Azure Blob Storage, Splunk
- Security & Identity
- Entra ID, service principals, Active Directory, SSO, OAuth, HashiCorp Vault, secrets and token governance, application security reviews, access audits, PR testing
- Enterprise & Product Tools
- SharePoint, Workday, Jira, Confluence, Stripe, PostHog
Languages
- German
- Native
- English
- C2
- Dutch
- B2
Projects
- Diffusion-Based SE(3) Motion PriorMSc thesis on a diffusion motion prior with KDE corrections, cutting simulated pose error by 40%.
- Mechanism Preservation Across Model CompressionDo compressed models keep the internal mechanisms of the original?
- InstanceDiffusion, Fully CustomisedVLMs for instance-specific image generation.
- Explainability in Reinforcement LearningTrajectory attribution for autonomous systems.
- EB-NeRD ChallengeUsing open- and closed-source LLMs to boost content recommendation.
- Waymo Challenge 20243D semantic segmentation.
- Queue CueVideo game queue pops that make your home light up.