I am a master’s a student in Applied Physics and Data Science. 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.
Find my pdf CV here.
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Development Engineer
March 2023 - Present
CAFA Tech
- 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.
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MSc Applied Physics and Data Science
Sep 2024 - Present
Tallinn University of Technology
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.
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Erasmus exchange student
Sep 2023 - Jan 2024
Denmark University of Technology
I had courses on
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Robot Technician
June 2022 - March 2023
Starship Technologies
- Repaired mechanics and electronics including PCBs
- Create tools to improve the robot’s repair process
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BSc Applied Physics
Sep 2021 - June 2024
Tallinn University of Technology
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.
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Bike mechanic
June 2021 - Sep 2021
Hawaii Express
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