Summary
Kambiz Ghoorchian is a Senior Data Scientist and PhD from KTH with a decade of experience building probabilistic, large-scale machine learning and graph algorithms for NLP and information retrieval. He combines deep academic training in computational linguistics with practical expertise in Spark, Scala, Python and TensorFlow to deliver scalable solutions for topic modeling, disambiguation, anaphora resolution and community detection. His work spans MCMC and mixture-model inference to distributed graph pipelines, including applications like vandalism detection and social-location analysis. At SEB he focuses on large-scale graph algorithms in production contexts, bringing research-grade probabilistic methods to industry. Colleagues describe him as someone who translates complex statistical models into efficient, deployable systems while keeping an eye on linguistic and topological structure that most engineers overlook.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Distributed Systems, Master's degree, Distributed Systems at KTH Royal Institute of Technology
Master's degree, Computational Linguistics, Master's degree, Computational Linguistics at Katholieke Universiteit Leuven