Summary
Pelle Jakovits is an Associate Professor and researcher with nine years of experience specializing in adapting scientific and Big Data algorithms to distributed and cloud-native environments. He earned a PhD on migrating scientific computing to distributed frameworks and has applied that expertise across EU projects like RADON, REMICS and Robo M.D., bridging research with industry in IoT and Smart Cities. Pelle teaches and runs hands-on labs in cloud computing, Kubernetes and distributed data processing while supervising MSc/PhD students and coordinating internships and industrial collaborations. He combines deep familiarity with Hadoop/Spark, BSP/MapReduce models and HPC tools with practical skills deploying clusters and IoT platforms using OpenStack, Docker and configuration management. Less obvious, he balances research-driven algorithm design with pragmatic operational experience setting up production-scale distributed environments and curricula that train practitioners.
9 years of coding experience
3 years of employment as a software developer
Tartu Tamme Gümnaasium
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Tartu
estonia, English, russia (basic)