Eugene Galaxy
Founder - Fast Track Your Wildlife Images Into Decisions at Aalborg University
Aalborg, North Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolEugene Galaxy is a founder and engineer with 9 years of experience building robotics-informed software and startups that bridge fieldwork and automation. He currently leads Animal Detect, creating tools that turn camera-trap images into actionable wildlife insights using modern AI models, while also serving as a research assistant at Aalborg University. A Mechatronics and Robotics MS graduate, he combines hands-on systems engineering from industrial-robot work with product-driven development learned as Co-Founder & CEO of Really A Robot. Eugene’s strength is simplifying tedious data workflows—freeing conservation teams from hours of manual image sifting—by deploying practical ML pipelines and deployment tooling. Based in Aalborg, he brings both entrepreneurial grit and a background in energy and automation, often manifesting as rapid prototyping and coffee-fueled late-night coding.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering at Aalborg UniversityAssociate’s Degree, Energy Technology, 120 ECTS points, Associate’s Degree, Energy Technology, 120 ECTS points at UCN, Professionshøjskolen University College NordjyllandBachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, 180 ETCS points, Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, 180 ETCS points at Aalborg Universitet
English, Russian, Latvian, Danish
Github Skills (31)
arduino-library10
react-native9
javascript9
ios9
typescript9
expo9
android9
react9
frontend9
weex8
react-navigation8
arduino8
blink8
tailwindcss8
microfrontend8
Programming languages (4)
Github contributions (5)
eugenegalaxy/DNS
Feb 2019 - May 2020
Contributions:159 pushes, 12 branches, 1 tag in 1 year 3 months
eugenegalaxy/victim_face_recognition
Mar 2020 - Jul 2020
Face Verification based on CNN and one image per person.
Contributions:8 PRs, 70 pushes, 7 branches in 3 months
face-verificationpersonface-recognitionface-detectionverification
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