Summary
Alex Tselikov is a Senior Global Data Architect with 11 years of experience designing and delivering large-scale AI/ML and data engineering solutions across cloud environments, currently helping enterprise customers at AWS. He progressed from hands-on roles building high-throughput pipelines and ML models for telco and automotive clients to leading data & AI teams and setting technical strategy for complex, production-grade systems. His expertise spans cloud platforms (AWS/Azure), distributed processing (Spark, Hadoop), ML/DL, and MLOps—having managed pipelines processing tens of millions of records per day. Based in Munich, he pairs a PhD in Data Analysis with practical product delivery and team-building skills, routinely mentoring engineers and establishing career frameworks. Less obvious: he moves fluidly between prototyping research-grade models and codifying those patterns into repeatable enterprise architectures that scale.
10 years of coding experience
12 years of employment as a software developer
Ph.D. in Data Analysis, Ph.D. in Data Analysis at Moscow State Industrial University (MSIU)
Data Scientist, Data Scientist at Beeline Data School
English