Summary
Nedeljko Radulovic is a Machine Learning Engineer with 11 years of experience bridging academic research and industry applications, currently focusing on NLP and generative AI at Sommelier du Parfum. He earned a PhD from Télécom Paris where he specialized in explainable AI, and brings strong hands-on experience deploying ML systems from his work on stream data mining, Kafka/Spark pipelines, and database-backed platforms. Earlier roles in R&D for smart metering honed his signal-processing and embedded-systems instincts, giving him a rare blend of hardware-aware modeling and production ML engineering. Based in France, he combines deep research rigor with practical product delivery, and often explores interpretability techniques to make generative models more transparent for applied use cases.
10 years of coding experience
4 years of employment as a software developer
Master's degree Process Control and Signal Processing, Master's degree Process Control and Signal Processing at Electrical Engineering, University of Belgrade
Master's degree Data Science, Master's degree Data Science at Télécom Paris
Bachelor's degree in Electrical Engineering and Computer Science Process Control and Signal Processing, Bachelor's degree in Electrical Engineering and Computer Science Process Control and Signal Processing at School of Electrical Engineering, University of Belgrade
English, German, French