Nejc Jager
Software Engineer at Igea d.o.o. (Slovenia)
Slovenia
Summary
🤩
Rockstar🎓
Top SchoolNejc Jager is a software engineer from Slovenia with 10 years of experience focused on backend development and hardware-software integration. He combines academic research at the University of Ljubljana’s LTFE/LMMFE—working on projects like shared manufacturing with blockchain—with practical industry work building municipal software at Igea d.o.o. His open-source contributions to Luxonis’ DepthAI projects show hands-on expertise in embedded vision, multi-camera calibration, spatial detection fusion, and stream management. Comfortable across research, teaching, and technical support roles, he brings a rare mix of multimedia, IoT, and systems-level experience that helps bridge prototypes to production.
10 years of coding experience
Bachelor's degree, Intermedia/Multimedia, Bachelor's degree, Intermedia/Multimedia at University of Ljubljana, Faculty of Electrical Engineering
Slovenian, English
Github Skills (9)
depthai10
computer-vision10
embedded10
opencv10
camera-calibration10
python10
ai10
compiler9
spatial8
Programming languages (9)
Github contributions (5)
luxonis/depthai
Nov 2022 - Jan 2023
DepthAI
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:4 reviews, 23 commits, 55 PRs in 2 months
Contributions summary:Nejc contributed significantly to the `depthai-sdk` library, primarily focused on enhancing camera functionality and X-out stream management. Their commits included adding features like customizable X-out stream names and a key return from the `poll` function, which improves usability and control. They also refactored setup.py, and removed unused variables, streamlining the codebase and improving maintainability. These modifications centered around camera component configuration and data streaming, suggesting an emphasis on hardware-software integration and optimization.
depthaiaimlembeddedspatial
luxonis/oak-examples
Oct 2022 - Dec 2022
Example projects we've done with OAK cameras
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 reviews, 55 commits, 16 PRs in 2 months
Contributions summary:Nejc added multi-cam-calibration and spatial-detection-fusion functionality, which involved modifying existing code and introducing new modules. These additions include the creation of a `camera.py` file with relevant classes and methods for camera operations, along with the integration of spatial detection and fusion techniques. These changes suggest the user was working with both hardware integration and potentially data processing and visualization of depth information, suggesting a full-stack role.
deep-learningpythonmachine-learningdepthai
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