AI Researcher & Applied Mathematician
Jan 2025 — present
Building dataset-creation and training pipelines for a proprietary large language model, from continued pre-training through reinforcement learning.
Master’s thesis on vocabulary expansion of LLMs; developed a method and pipeline for KL-based self-distillation.
Apr — Aug 2024
Developed preprocessing methods and a training pipeline for precise placement of objects in images generated by latent diffusion models. Project note.
Jun — Aug 2022
Summer Intern
May 2021 — Dec 2022
Client Advisor
Aug 2020 — Apr 2021
Catamaran Coach
Aug 2019 — Jun 2020
Reconnaissance & Infiltration Specialist
Summers 2016 — 2020
Sailing Instructor, responsible for the competitive racing group.
Aug 2020 — Jan 2026
Degree Programme in Engineering Physics, MSc in Applied Mathematics for Data Science.
Sep 2023 — Aug 2024
Third year of Cycle Ingénieur, track in Applied Mathematics.
Aug 2016 — Jun 2019
Natural Sciences Program; participated in the Young Entrepreneurship Program.
2026
Featured in The New York Times on maximising the use of AI. Read article.
2025
Ericsson / KTH master’s thesis. Read on arXiv.
2025
Winner, “Most Likely to Become a Unicorn.” Sponsored by OpenAI, EQT, and Stripe. Event note.
2024
Publicis / l’X technical report. Read on arXiv.
2023
Awarded by Tessinsällskapet.
2020
F18 catamaran class sailboat.
Languages
Swedish (native), English (fluent), French (fluent).
Infrastructure
Azure, AWS, Slurm, FSDP / DeepSpeed, vLLM, DVC, Docker, TRL, PEFT, and Blob / FSx / S3 storage.