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Djordje UserDU
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Djordje User

@djordjeuser2

Embedded ML Engineer at Beehold who built a battery-powered field monitor and honey-yield forecasting models.

Serbia
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At Beehold, I engineered a field monitoring device that runs unattended for months on one battery charge, eliminating recurring maintenance visits for farmers. I also developed predictive models that forecast honey yield up to 14 days ahead, accurate to within 200g.

For team NSpace at the European Rover Challenge, I coordinated a 13-person team to a top-7 finish among 25 teams. I formulated a computer-vision pipeline that improved marker-detection accuracy by 21% and integrated panoramic terrain mapping on the ROS2-based rover.

At Typhoon HIL, I designed and validated a fuse simulation model and implemented a SCADA interface for real-time monitoring. My projects include an adaptive game-playing AI and a custom-designed, flight-tested quadcopter.

Experience

Work history, roles, and key accomplishments

BE
Current

Embedded Machine Learning Engineer

Beehold

Nov 2024 - Present (1 year 11 months)

Engineered and deployed a field monitoring device that runs unattended for months on a single battery charge, eliminating recurring maintenance visits for farmers. Implemented an ML training platform and developed predictive models that forecast honey yield up to 14 days in advance.

NS

Team Leader

NSpace

May 2025 - Aug 2025 (3 months)

Coordinated a 13-person team to a top-7 finish out of 25 teams globally in the European Rover Challenge. Formulated a computer-vision pipeline that improved marker-detection accuracy by 21% and integrated an image-stitching pipeline for panoramic terrain maps.

TH

Modelling Engineer Intern

Typhoon HIL

Mar 2024 - Jun 2024 (3 months)

Designed and validated a fuse simulation model covering steady-state and transient behaviour, used to test protection systems before physical hardware trials. Implemented a SCADA interface for real-time monitoring and validated the model with automated testing.

Education

Degrees, certifications, and relevant coursework

FS

Faculty of Technical Sciences, University of Novi Sad

Master of Science, Computing and Control Engineering

2023 -

Grade: 9.86/10

Pursuing a Master of Science in Computing and Control Engineering with a GPA of 9.86/10.

FS

Faculty of Technical Sciences, University of Novi Sad

Bachelor of Science with Honours, Electrical and Computer Engineering

2019 - 2023

Grade: 9.49/10

Completed a Bachelor of Science with Honours in Electrical and Computer Engineering with a GPA of 9.49/10.

Tech stack

Software and tools used professionally

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