Open to opportunities

Dejana Antic

@dejanaantic

Message

Computer vision engineer specializing in medical imaging, deep learning, and research-driven product development.

Germany

Message

What I'm looking for

I seek research-driven roles in medical computer vision or ML engineering where I can lead projects, collaborate cross-functionally, and translate models into clinical impact.

I am a computer vision engineer with an MSc in Machine Learning, focused on medical imaging applications such as monocular depth estimation, object pose estimation, semantic segmentation, and 3D reconstruction from ultrasound.

I have hands-on research experience at a medtech research department and at the Max Planck Institute-affiliated start-up, contributing to object detection and instance segmentation projects and publishing work on weakly supervised novel-class object detection.

I lead projects, supervise students and interns, and drive cross-team communication while contributing to invention disclosures and patents; I also have strong software engineering skills in Python, C++ and common ML libraries.

I am motivated by applied research that translates into clinical impact and enjoy mentoring, collaborative problem solving, and pushing technical boundaries in medical computer vision.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision Engineer

Current

Erbe Elektromedizin

Nov 2023 - Present (1 year 11 months)

Working in research on medical computer vision projects including monocular depth estimation in laparoscopy, object pose estimation, semantic segmentation, and 3D reconstruction from ultrasound; lead projects and coordinate cross-team development.

Pose Estimation 3D Reconstruction Medical Imaging PyTorch TensorFlow OpenCV

Research Assistant - Computer Vision

Max Planck Institute for Intelligent Systems

Jun 2022 - Oct 2023 (1 year 4 months)

Conducted research on object detection and instance segmentation within an MPI-affiliated start-up, contributing to model development and experimental evaluation.

Object Detection PyTorch TensorFlow Python Deep Learning Research

Teaching Assistant

Faculty of Computing

Oct 2019 - Jan 2021 (1 year 3 months)

Taught practical classes in Algorithms and Data Structures and Computational Geometry, mentoring students and delivering lab sessions to improve problem-solving skills.

Algorithms Data Structures Teaching Mentoring Problem Solving Python C++

Education

Degrees, certifications, and relevant coursework

Eberhard Karls Universität Tübingen

Master of Science, Machine Learning

2021 - 2023

Grade: 1.2 / 1.0 (120 ECTS)

Activities and societies: Research in medtech computer vision; projects on laparoscopic depth estimation and ultrasound 3D reconstruction; supervising students and interns.

MSc Degree in Machine Learning with research on computer vision topics including monocular depth estimation, object pose estimation, semantic segmentation, and 3D reconstruction from ultrasound.