As an undergraduate physics student, I am not quite ready for a proper career yet, but if you have something interesting (and preferably paid 😉) you think I should be doing with my breaks/holidays, feel free to get in touch!
I am also more than happy to relocate, perhaps getting an opportunity to see a bit more of the planet we call home 🌍.
I’ve been involved in quite a few things over the years - I encourage you to have a 👀 at my CV if you want to learn more.
BA (Hons) Natural Sciences, 2023
University of Cambridge
Jeppe managed to achieve amazing results & his work is
going to have far reaching impacts.
Jeppe displayed software development skills comparable to seasoned industry level professionals.
I wish Jeppe all the best with his future endeavours & would highly recommend him to future employers, colleagues, stakeholders.
— Sam Shannon, Chief Technical Officer at Intropic
Jeppe has a forthcoming and caring attitude
which makes it easy for our students to gain confidence and trust.
We highly recommend Jeppe, who is a colleague with high integrity, who takes his work seriously.
— Bo Georgi Kristensen, Teacher at Ans Skole
Among other things - Have a peek at my CV for more!
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
A2C were investigated using long-running physical experiments.
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.
Rather Enthusiastic 😁
Snake Whisperer 🤫
Terminally Talented 🚀