Summary
Michalina Dengusiak is an educator and early-career computational practitioner based in Berlin with eight years of diverse experience spanning tutoring, robotics, machine learning, and 3D design. She has taught mathematics and English using the Kumon Method while also building practical ML and robotics prototypes—connecting a live camera to a deep-learning classifier and porting ROS Noetic simulation launch files to ROS2. Her background blends hands-on maker skills (3D printing with Grasshopper/Topologic) with applied software work at Micropsi Industries, reflecting both technical curiosity and an eye for design. A high-achieving Abitur graduate who loves design, she brings a disciplined, detail-oriented approach and a knack for translating complex computational ideas into tangible learning experiences.
8 years of coding experience
Abitur, 1.0, Abitur, 1.0 at Heinrich Hertz Gymnasium
Berlin Cosmopolitan School
English, Polish, German, French