Research and Development role in Nuclear Magnetic Resonance (NMR) sensor company combining mechanical engineering, physics, and software engineering skills.

Majority of work focused on development of a testing and shimming platform for a $≈ 1T$ permanent magnet Halbach cylinder using high-precision Hall Effect sensors and NMR frequency data in order to improve passive shimming outcomes and improve the internal magnetic field homogeneity.

The primary product, the Tveskaeg system, uses NMR relaxometry methods to determine isotope content and derived quantities on liquid phase samples. Use-cases include salt content determination in food industries, boron concentration determination in water desalination plants, and many other industrial cases.

Currently on leave to finish academic studies.

10-week summer internship at University of Cambridge.

Work focused on development of a physical and simulated cartpole experiment by the name of CartER.

CartER enables reproducable investigation of model-free and model-based reinforcement learning algorithms using a standardised interface that integrates with the stable-baselines3 project.

Primarily PPO and A2C were investigated using long-running physical experiments.

Supervisors:

• Professor Pietro Cicuta (Department of Physics)
• Professor Pietro Liò (Department of Physics)

8-week summer internship in a London-based FinTech startup.

Introduced and authored a variety of Python projects dealing with REST API development, data processing and created a streaming data pipeline in Kafka/Faust. Collaborated on existing client-facing API’s.

Fixed temporary position in Ans Skole’s Special Education section.

Previously worked as a regular substitute teacher in the public school section. Primarily taught Natural Sciences, English and Mathematics, ages 13 – 16.