I am a Senior Machine Learning Engineer with a strong background in computer vision, natural language processing, and large-scale AI systems. I have extensive experience designing and deploying end-to-end machine learning solutions, including advanced deep learning models, retrieval-augmented generation pipelines, and custom neural architectures for real-world applications.

Currently, I work at EPAM Systems, where I focus on complex AI challenges such as seismic data analysis and subsurface prediction, building high-performance models and optimizing large-scale training pipelines. Previously, I worked at Orion Innovation, Incode Technologies, and Philip Morris International, where I developed computer vision systems, LLM-based solutions, and data-driven products across diverse domains.

I hold both a Bachelor’s and Master’s degree in Electrical Engineering from the University of Belgrade, specializing in signals and systems. I have also actively participated in international competitions and hackathons.

I have a collaborative mindset, strong communication skills, and continuous drive for learning.