Machine Learning Development Engineer

Junior Development Engineer specializing in Machine Learning and Computer Vision for Driver Assistance Systems and Object Detection. Expertise in the development, training, and optimization of deep learning models, particularly CNNs, LSTMs, and Transformers. Experience in generating and preparing synthetic data, as well as in model evaluation and optimization for accuracy and performance. Practical application in real-time drone detection and ML-based trajectory prediction for Adaptive Cruise Control.

Development and optimization of an RTMDet-based object detection model for real-time drone detection with mAP improvement; Systematic comparison of CNN architectures (YOLO, Faster R-CNN, RTMDet) for small drone detection; Conception, implementation, and evaluation of LSTM, Transformer, and 1D-CNN architectures for vehicle trajectory prediction; Generation of synthetic driving scenarios with IPG CarMaker for data augmentation; Application of feature extraction and data augmentation in the deep learning cycle; Annotation and preparation of video and image datasets with Label Studio.