Summary
Erik Janežič is a Senior Data Scientist with a decade of experience building ML systems from research prototypes to production at Sportradar and other labs. Trained in biochemistry and computer science, he bridges domain science and engineering—having applied CNNs to molecular distance maps and reimplemented Capsule Networks during academic research. He designs and deploys models on AWS, streams real-time analytics with Kafka and Flink, and exposes services via FastAPI while authoring common Python libraries and interactive Plotly Dash dashboards. Known for code optimization, parallel computing and automation, he enjoys squeezing performance from models and pipelines and routinely operates across batch and real-time workloads. Outside work he experiments with Rust and Lisp, hobby electronics on Arduino/Raspberry Pi, and personal libraries that test novel ideas in AI.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Ljubljana, Faculty of Computer and Information Science
Bachelor's degree, Biochemistry, Bachelor's degree, Biochemistry at Faculty for chemistry and chemical technology Ljubljana
English, Slovenian, German