Summary
Igor Manojlović is a Senior Data Scientist with 7 years of experience building production-grade AI/ML systems across finance, mobility, maritime, and energy domains, now based in the Greater Barcelona area. He combines deep academic training (PhD-level electrical and computer engineering) with hands-on leadership—designing anomaly detection and forecasting pipelines, leading teams, and translating complex requirements into scalable cloud solutions on AWS, Azure and Snowflake. His recent work includes architecting GPT-4 RAG chatbots for Treasury & Risk, LLM-driven explainability for FX anomaly detection, and spatiotemporal models for self-driving analytics and vessel performance. Equally comfortable in research and delivery, he mentors engineers, drives technical roadmaps, and embeds explainability (SHAP, LLM explanations) into operational ML. A pragmatic innovator, he often blends probabilistic forecasting, autoencoders and LLM orchestration to turn noisy real-world signals into actionable business insights.
7 years of coding experience
3 years of employment as a software developer
Master in Informatics, Computer Science • Information Technologies • Software Engineering, 9.54/10, Master in Informatics, Computer Science • Information Technologies • Software Engineering, 9.54/10 at University of Novi Sad, Faculty of Sciences
PhD in Electrical and Computer Engineering, Technical-Technological Science • Electrical and Computer Engineering, 9.86/10, PhD in Electrical and Computer Engineering, Technical-Technological Science • Electrical and Computer Engineering, 9.86/10 at Faculty of Technical Sciences, University of Novi Sad
Serbian, English, Spanish