Summary
Minwoo Kim is a Senior Data Scientist at Ericsson's GFTL Global AI Accelerator with eight years of experience building production ML systems for telecom networks, from anomaly detection for LTE eNodeBs to an RL-powered smart data generation pipeline. He combines rigorous training in mathematics, statistics, and computer science (degrees from KAIST, Seoul National University, Duke, and exchange at Waterloo) with hands-on roles as solution architect and system developer to bridge research and scalable engineering. Minwoo has repeatedly shipped automated network intelligence features—root-cause alerts, hierarchical time-series anomaly algorithms, and automated network element management—demonstrating depth in both model design and system integration. Based in San Jose, he pairs academic rigor (near-perfect graduate GPAs) with practical leadership in cross-disciplinary teams, and has a track record of turning complex telecom data challenges into deployable, RL- and data-driven solutions.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Mathematics, 3.83 / 4.3, Bachelor’s Degree, Mathematics, 3.83 / 4.3 at Korea Advanced Institute of Science and Technology
Master’s Degree, Statistics, 3.84 / 4.3, Master’s Degree, Statistics, 3.84 / 4.3 at Seoul National University
Master’s Degree, Computer Science, 3.96 / 4.0, Master’s Degree, Computer Science, 3.96 / 4.0 at Duke University
Exchange, Mathematics, Exchange, Mathematics at University of Waterloo
Korean, English