Knut Magnus Aasrud

Work experience

• Evyon

  Software Engineer (2025 – Now)

  • Rebuilt the complete software stack - both edge and cloud-side - for Elywhere’s battery-powered EV chargers as containerized microservices using Rust and Docker. Drastically reduced the complexity and resource usage, and cut the number of per-page-requests needed by the frontend from ~30 to 1.
  • Designed, implemented and optimized a complex cloud infrastructure on AWS, using Terraform and Kubernetes. This included setting up a custom CD system for deployment. This infrastructure was flexible enough that we moved it between three cloud providers in a week.
  • Created a custom Linux OS for the edge computers and implemented an OTA update system with Mender. Enabled deterministic versioning of every edge node and compliance with the EU Cyber Resilience Act.
  • Built end-to-end telemetry data flow, from hardware interfaces to database and visualization.
  
  

  Battery ML Analyst (2022 - 2025)

  • Developed an ECM-backed Kalman filter model for estimating state of charge in production battery energy storage systems, reducing SoC-related downtime to zero.
  • Implemented a self-learning single-particle model framework for producing accurate and reliable estimates of the battery's state of health. Estimates are produced from live timestream data, providing a cheap and continuously updated assessment.
  • Invented a technique for scaling EIS measurements from cell-level to module-level, along with bringing measurement time from around half an hour down to only five minutes. Proven by a paying customer.
  • Assisted in establishing a fully automated battery characterization laboratory and developed the software infrastructure to oversee and manage experiments within the lab. This included integrating with instruments over Modbus, SNMP, CAN and SCPI.

• Norrøna Retail

  Retail Clerk (October 2019 - June 2023)

  • Sold premium outdoor clothing, organized the store physically/digitally, and helped with the daily management tasks (doing purchase orders, handling cash, receiving shipments, etc.) Competitive sales environment with a focus on personal KPIs and customer service.

Education

• Master of Science

  University of Oslo, Computational Science: Physics (August 2022 - April 2024)

  • Developed a convolutional neural network with PyTorch that demonstrated degradation state assessment of lithium-ion batteries at the module scale, using electrochemical impedance spectroscopy.
  • First (openly available) proof that such an assessment is possible.
  • The full thesis can be read on thesis.kmaasrud.com.

• Bachelor of Science

  University of Oslo, Physics (August 2017 - June 2021)

  • Courses include Quantum Mechanics, Computational Physics, Applied Data Analysis and Machine Learning and more. Did one year (40 ECTS) extra to gain more competence in computational science and machine learning.

• Studiespesialisering

  Bjertnes videregående skole (August 2014 - June 2017)

Other experience

• Climate friendly software research

  Low Carbon Software Collective (2024 - Now)

  • Active participation in an informal software research collective, where we do research and open source contributions on our spare time, with the goal of reducing global energy usage.

• Freelance open source Rust development

  Pimalaya (2023)

  • Actively contributed to the development of the Himalaya command line application, written in Rust, as well as solving bugs in the backing email library, and rewriting and maintaining the Rust Maildir++ implementation. The project is funded by the European Commission's Next Generation Internet programme.

Skills

• Python
• Rust
• Go
• C/C++
• Unix tools and shell scripting
• Nix
• Cloud providers: AWS, GCP, Azure and OVH
• Containerized applications and Kubernetes
• Web technology: HTML, CSS, JavaScript
• Git, Git hosting and CI/CD tooling

Other

Fluent in English and Norwegian

References by request; send me an email.