Djordje Grozdic

Djordje Grozdic

Đorđe Grozdić is a Senior Staff Data Scientist who established Grid Dynamics' Data Science expertise in Belgrade in 2019. He currently serves as the Senior Specialization Lead, overseeing the Data Science disciplines in Serbia and Armenia. With a Ph.D. in Electrical Engineering and Computer Science and over 15 years of experience, he has honed his skills in crafting innovative machine learning (ML) and artificial intelligence (AI) solutions. His expertise spans a broad array of sectors, including supply chain, generative AI, healthcare, retail, manufacturing, electric power, fintech, and the gaming industry. Đorđe continues to contribute to the field and the research community. He has published numerous scientific papers and authored two chapters in esteemed academic books.

Djordje Grozdic

Đorđe Grozdić is a Senior Staff Data Scientist who established Grid Dynamics' Data Science expertise in Belgrade in 2019. He currently serves as the Senior Specialization Lead, overseeing the Data Science disciplines in Serbia and Armenia. With a Ph.D. in Electrical Engineering and Computer Science and over 15 years of experience, he has honed his skills in crafting innovative machine learning (ML) and artificial intelligence (AI) solutions. His expertise spans a broad array of sectors, including supply chain, generative AI, healthcare, retail, manufacturing, electric power, fintech, and the gaming industry. Đorđe continues to contribute to the field and the research community. He has published numerous scientific papers and authored two chapters in esteemed academic books.

Djordje Grozdic

Transforming business process automation with retrieval-augmented generation and LLMs

In today’s competitive business environment, automation of business processes, especially document processing workflows, has become critical for companies seeking to improve efficiency and reduce manual errors. Traditional methods often struggle to keep up with the volume and complexity of the tasks, while human-led processes are slow, error-prone, and may not always deliver consistent results.  Large