Summary
Rajjat Dadwal is a Senior Researcher at the University of Bonn with a decade of experience applying deep learning to spatio-temporal and big-data problems. He blends academic rigor from his PhD work with practical engineering—building scalable POI data pipelines, clustering and outlier detection on Spark/Scala, and production analytics systems earlier in his career. His trajectory spans industry and research labs (Fraunhofer IAIS, L3S) and includes international collaboration as a guest researcher, reflecting strong systems and data-infrastructure skills alongside modeling expertise. Rajjat often bridges backend engineering (Java, Spark) and ML research, making him adept at taking complex predictive models into deployable, large-scale workflows. An underappreciated strength is his consistent focus on scalable data integration for spatial problems, which underpins both his research and applied work.
10 years of coding experience
9 years of employment as a software developer
Master of Computer Science, Master of Computer Science at University of Bonn
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at The University of Bonn
Higher Secondary Examination Physics,Chemistry,Mathematics and Biology, Higher Secondary Examination Physics,Chemistry,Mathematics and Biology at Sainik School Sujanpur Tihra
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at National Institute of Technology Hamirpur-Alumni
English, Hindi, German