Nenad Biresev
Freelance Computer Vision Engineer
Experience
Freelance Computer Vision Engineer
Vorwerk & Co. KG
- Developed a robust training pipeline utilizing Databricks for object detection and semantic segmentation tasks specifically tailored for Time-of-Flight (ToF) camera images to recognize obstacles
- Integrated the inference process into a C++ project designed for cleaning robots optimized for the arm64 processor architecture to facilitate obstacle recognition and avoidance functionalities
Freelance Computer Vision Engineer
Veridos GmbH
- Developed and deployed advanced deep learning models for face detection and anti-face spoofing using thermal and RGB images
- Trained semantic segmentation models for precise background removal in human portraits
- Engineered object detection models to identify damages in passports
- Utilized frameworks such as TensorFlow, PyTorch, WPF and OpenCV
- Deployed models via Docker containers and MLFlow providing gRPC and REST APIs and C++ libraries
- Managed MLOps pipelines using MLFlow, LakeFs and Flyte
- Leveraged Azure cloud technologies for efficient model training
- Collaborated with cross-functional teams to integrate computer vision capabilities into various projects leading to improved product features
Machine Learning Engineer for RPA
Freelance
- Developed robotic process automation solutions for business using C++ and C#
- Used Python and TensorFlow for training object detection deep learning models
- Deployed solutions on-premises and in Azure Cloud
Machine Learning Engineer - Computer Vision
Motec GmbH
- Trained deep learning models for object detection tasks to recognize humans, cars, trees and other objects in RGB images using Python and TensorFlow
- Implemented ground plane detection and road lane detection using the ZED stereo camera with classical computer vision approaches in C++ and OpenCV
Software Developer
Gigatronik Holding GmbH
- Developed a face recognition iOS app using Xcode, Objective C and OpenCV allowing users to register accounts and login via face recognition
- Implemented gesture recognition on Jetson with Asus Xtion Pro Camera using C++, OpenCV, OpenNI and Nite to record and recognize hand gestures as input commands
- Built a Ford Sync iOS app to control Ford Sync via Bluetooth Low Energy using Xcode and Objective C
- Created a peripheral and central simulator for BLE devices in an iOS app using Xcode and Objective C
- Developed a Mac OS X driver for a Bosch eBike device in C and C++
- Implemented HMI for BHTC Multi-Touch demonstrator in Visual Studio 2013 with C#, Windows Forms and WPF providing handwriting recognition, image manipulation and finger gesture recognition
- Developed HMI for BHTC demonstrator controlling air conditioner in a car using C++, Qt and QML
- Delivered EVOBUS project for Mercedes-Benz - Daimler AG implementing HMI for an autonomous driving bus using WPF, C#, MVVM and Visual Studio 2015
- Implemented multi-language System Xentry tabs and diagnosis systems for Mercedes-Benz - Daimler AG using WPF, C#, MVVM and Visual Studio 2015
- Created HMI multimedia demonstrator for Neighborhood Electric Vehicles from Gigatronik using C++, Qt and QML in a SCRUM environment
Scientific Researcher
University of Bonn
- Researched hierarchical invariant features for action recognition in videos using C++ and Python
- Accelerated algorithms with CUDA C++ extensions
Software Developer
Fraunhofer-Institute for Intelligent Analyses
- Performed object class segmentation using random forests and RGB-D SLAM
- Built semantic maps using random forests for object class segmentation
- Contributed to the Nifti rescue robot project
Software Developer
Ipsylon
- Developed Windows Form applications in Visual Studio 2008 using C#, SQL Server 2005 and LINQ to SQL
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (12 years), Automotive (4.5 years), Manufacturing (2 years), and Education (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (13 years), Information Technology (10.5 years), and Research and Development (8 years).
Summary
Experienced professional with 11 years of software development and machine learning expertise. Skilled in C++, Python, and C#, with proficiency in frameworks such as OpenCV, TensorFlow, PyTorch, Qt, and WPF. Experienced in MLOps tools including MLFlow, DVC, and LakeFs. Proficient in Docker and Azure Cloud for deployment. Committed to innovation, problem-solving, and delivering high-quality results. Ready to contribute to project success with strong technical skills and deep understanding of software development and machine learning.
Skills
- C++: 6 Years
- Python: 5 Years
- C#: 7 Years
- Opencv: 6 Years
- Tensorflow: 4 Years
- Pytorch: 2 Year
- Qt: 5 Years
- Wpf: 5 Years
- Mlflow: 2 Years
- Dvc: 1 Year
- Lakefs: 1 Year
- Docker: 2 Years
- Flyte: 6 Months
- Azure Cloud: 2 Years
- Os: Windows, Linux, Os X
- Databricks: 4 Months
- Aws: 4 Months
Languages
Education
Rheinische Friedrich-Wilhelms University - Bonn
Master of Science, Computer Science · Computer Science · Bonn, Germany
Institute For Mathematics Und Computer Science - Novi Sad, Serbia
Master of Science, Computer Science · Computer Science · Novi Sad, Serbia · 9.1/10.00
Profile
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