I bridge the gap between technical and non-technical stakeholders to deliver projects that effectively incorporate business domain knowledge whilst minimising technical debt. I specialise in swift problem solving, translating complex problems into performant and reliable solutions. Additionally, I have extensive experience developing GDPR and AML compliant systems, conducting security audits and implementing systems that safely handle sensitive information.

Experience

Lead Developer - argmin Consulting

2023 ⟶

Pingo Documents

09/2024 ⟶

  • Conducted a performance audit on a problematic and often used website component, and reduced the number of database queries in MSSQL by 92% and decreased load times by more than 15x.
  • Implemented integrations to eTL (Danish land registry), CVR (Danish Central Business Register) to automatically fetch and display information needed by users, reducing the need for manual data entry.
  • Extended a domain specific language, removing fundamental limitations and exposing previously opaque data to the backend, enabling the development of several high impact features.

Two Scenarios

12/2024 - 12/2024

  • Built an integration for Two Scenarios to continuously transfer pharmaceutical pricing data into a database within a week, helping them to meet a crucial deadline. See case study

AI Estate

06/2023 - 09/2024

  • Worked as a contractor for Pingo Documents (working with Pingo directly after 09/2024) and was responsible for completing the more complex tasks, as well as guiding and assisting two other developers in smaller tasks.
  • Responsible for CI/CD, DevOps, security and ensuring the team met deadlines for client deliverables.
  • Implemented major updates to UX and features, by making the frontend more responsive and giving it a more modern look as well as improving the previously unintuitive user flow.
  • Made a service to perform information retrieval on real-estate documents using OCR and a language model.

Promilist

01/2023 - 03/2023

  • Migrated a Python codebase to Julia, improving inference speed by 5x. This was used to calculate fuel-optimal paths for naval vessels, by graph-traversing space-time graphs on a geodesic map.
  • Implemented an API in Genie.jl to interface with the existing backend.

Machine Learning Developer - Juristic ApS

08/2022 - 02/2023

  • Developed a program to automatically digitalise handwritten relational charts, using a combination of computer vision, clustering and morphological image processing in two months.

KU Courses - Project

05/2023 ⟶

  • Developed a event-driven microservice based SPA in Typescript, Rust and Clojure, using scraped data from Copenhagen University's course catalogue. Achieved 15x faster searches and consolidated information that previously required three separate websites open into a unified interface.
  • PostgreSQL was used to store vector embeddings and course information.
  • ONNX was used to perform vector-based search of courses with a pre-trained sentence transformer model. This approach yielded more robust and relevant search results compared to the existing solution.
  • Used SEO and grassroots marketing to increase the monthly active users from 0 to 200.

Education

B.Sc in Machine Learning and Data Science

08/2022 - 19/06/2025

Copenhagen University (DIKU)
  • 7-point scale average of 10.9 / 12.0.
  • Took 30 ECTS of M.Sc courses in randomised and approximation algorithms, computational geometry, probabilistic machine learning and IT project management.
  • Wrote a bachelor's thesis on topological deep learning and graph representation learning, which evolved into a reproducibility study of state of the art GNN models. It can be found on Forgejo, BottlenecksWithinGNNs.

Skills

  • Languages: C# (.NET), Rust, Svelte/TypeScript, Python, Clojure (JVM), Julia
  • DevOps and Tools: Docker, TeamCity, GitHub Actions, VPS and cloud hosting (Hetzner, GCP), Azure AI