Mikk Kruusalu

Physics and Data Science

I have a Master’s degree in Applied Physics and Data Science cum laude. I am passionate about modelling the real world to gain meaningful insights into its behaviour. I have experience in

computer vision and sensor fusion by designing a custom visual inertial odometry system for multirotor drones in CAFA Tech,
embedded systems both the PCB and firmware design,
control theory using PID loops and Kalman filters,
machine learning with many hands-on projects as part of the university courses and a timeseries classification model in CAFA Tech,
deep learning as course projects that cover all classical architectures of neural networks.

I have practical experience with electronics, programming and mechanics already from the age of 14 when I competed in my first Robotex. Over the years I built many different robots for competitions such as line following, water rally, folkrace and maze solving. On one hand, these competitions taught me the basics of everything: programming, control theory, electronics, soldering, mechanical design and 3D printing. On the other hand, I had many hard lessons on robustness and quality. The weakest component, be it software or hardware, is always going to break the night before competition :)

In my free time I have enjoyed playing football for my entire life. In my high-school years I was competing in Estonia’s professional level. But I have always put studying ahead of my football career and so now I play only to keep my mind and body fresh. Nevertheless, I still value good work ethics, teamwork and an ambitious team around me – on the pitch we always want to win!

CAFA Tech

Custom visual inertial odometry system for position hold of a multirotor in GPS-denied environments.
Drone tether system control loop firmware and electornics.
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.

Tallinn University of Technology
cum laude

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.

Denmark University of Technology

I had courses on

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

Starship Technologies

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

Tallinn University of Technology
cum laude

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.

Hawaii Express

This site is made with Quarto and the theme has been mostly copied from Simon.

Mikk Kruusalu

Development Engineer

MSc Applied Physics and Data Science

Erasmus exchange student

Robot Technician

BSc Applied Physics

Bike mechanic