About

I am a master’s student in Applied Physics. Describing the world in a quantitative way and learning about the system’s behaviour by modelling is why I like studying physics.

In my free time I enjoy cooking, hiking, playing football, padel and other ball games.

Development Engineer

CAFA Tech

March 2023 - Present

  • Drone tether system control loop firmware.
  • Developed a battery pack control system PCB and firmware.
  • Energy Team Lead in developing a smallscale microgrid.
  • Machine learning model for classifying objects based on their trajectories.
  • Developed a Data Acquisition System based on Beckhoff PLC and Timescale database.
  • Rapid prototyping of heat engines.

MSc Applied Physics and Data Science

Tallinn University of Technology

Sep 2024 - Present

Some notable courses I have had in Master’s are

  • scientific computing , where we had three finite element projects on the High Performance Cluster.
  • Deep Learning , where we explored several different neural network architectures by defining and training these on individual projects
  • Numerical Methods, where we implemented different numerical schemes to solving Partial Differential Equations (PDE), this was continuance on the analytical PDE course.

Erasmsus exchange student

Denmark University of Technology

Sep 2023 - Jan 2024

I had courses on

  • dynamical systems,
  • deep learning ,
  • experimental course in optic communications and state space models.

Robot Technician

Starship Technologies

June 2022 - March 2023

  • Repaired mechanics and electronics including PCBs
  • Create tools to improve the robot’s repair process

BSc Applied Physics

Tallinn University of Technology, cum laude

Sep 2021 - June 2024

My thesis focused on modelling nerve signals and focused on the derivation of the governing equations and solving a PDE with different parametrs to understand the equations behaviour.

Some notable courses I had include

  • basic mathematics, such as linear algebra, caclulus I and II, complex analysis, odrinary differential equations, numerical methods,
  • basics in classical physics, such as mechanics, electrodynamics, optics, thermodynamics, etc.
  • basics in data science, such as probability theory, statistical methods and machine learning.

Bike Mechanic

Hawaii Express

June 2021 - Sep 2021