Viktoriya Kuryla

Machine Learning Engineer at Smart Cow

Built and deployed an end-to-end ML pipeline covering data augmentation, quality inspection, model training, pruning, retraining, evaluation, and quantization (PTQ/QAT). Deployed real-time object detection models (YOLO, DETR, ViT) across hundreds of devices and contributed to traffic analysis software foundations. Tech stack included Python, PyTorch, OpenCV, CUDA, ONNX, TensorRT, Docker, AWS, and NVIDIA Jetson platforms.

Research Assistant (Semantic Knowledge) at University of Trento

Collected and preprocessed fMRI and MEG data; performed MVPA and statistical hypothesis testing; contributed to research on semantic knowledge representations and representational similarity analysis; supported data pipelines and toolchains for neural data analysis.

PhD Researcher (Object Recognition) at University of Trento

Designed experiments on the role of the visual domain in artificial and biological object recognition; studied CNN feature maps and neural activations (monkeys and humans) using fMRI; developed experiments for representation similarity analysis; prepared to pursue applied AI within industry.

Machine Learning Engineer (Internship) at World Replica

Embedded and optimized real-time AI solutions on restricted hardware; developed and deployed ML models for creative and retail applications; built an end-to-end ML lifecycle pipeline and supported the foundation of traffic analysis software. Led the setup of a compact ML pipeline, including data augmentation, quality checks, and model deployment.

Machine Learning Engineer at World Replica

Built and deployed AI/ML pipelines; advanced research in multi-agent AI, built an end-to-end ML pipeline; Founded and managed a dance school with around 120 students, overseeing operations; Organized public dance events and workshops.