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haro2x User

@haro2xuser

Enthusiastic computer engineer with a passion for machine learning.

Austria
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What I'm looking for

I am looking for opportunities that challenge my skills in machine learning and robotics while fostering innovation and collaboration.

I am an enthusiastic computer engineer with a diverse range of interests, particularly in software engineering, machine learning, and robotics. My experience working on various research and development projects has fueled my passion for solving complex engineering problems. I thrive in environments that challenge my technical skills and allow me to innovate.

Currently, I am a researcher at Virtual Vehicle Research GmbH, where I have developed a version-agnostic MATLAB-Python binding toolkit and deployed robotics pipelines in ROS systems using Docker. My work includes creating a survivor detection system that utilizes LiDAR and thermal imaging fusion, as well as developing an annotation tool for labeling avalanches in satellite images. These experiences have honed my skills in computer vision and deep learning, particularly in object detection and sensor fusion.

With a strong foundation in programming languages such as C, C++, and Python, along with proficiency in tools like PyTorch and OpenCV, I am well-equipped to tackle challenging projects in the field of robotics and computer vision. I am eager to continue my journey in this dynamic industry, contributing to innovative solutions and advancing technology.

Experience

Work history, roles, and key accomplishments

VG

Research Intern

Virtual Vehicle Research GmbH

Feb 2019 - Present (6 years 6 months)

Gained experience with research and development processes in the autonomous driving industry. Developed a multi-object tracking pipeline for a 3D object detection system and an occupancy grid estimation pipeline on a GPU.

Education

Degrees, certifications, and relevant coursework

GT

Graz University of Technology

Master of Science, Robotics and Computer Vision

2018 - 2020

Activities and societies: Validation and testing of the decentralized architecture for the occupancy grid filtering pipeline

Focused on Robotics and Computer Vision, gaining expertise in advanced topics within these fields. Contributed to research and development projects, including the validation and testing of decentralized architectures for occupancy grid filtering pipelines.

FS

Faculty of Electrical Engineering, Sarajevo

Bachelor of Science, Control Systems and Electronics

2014 -

Studied Control Systems and Electronics, building a strong foundation in electrical engineering principles. Engaged in coursework and projects related to the design and analysis of control systems and electronic circuits.

Tech stack

Software and tools used professionally

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