Summary
Evgeny Karataev is a Staff Software Engineer in Chicago with 12 years of professional experience and a strong full-stack background spanning Java, Python, JavaScript, and modern cloud-native tooling. He has led and contributed to distributed big-data platforms and production ML/analytics infrastructure at Nielsen and now drives engineering at Hipcamp, blending backend services, data systems, and deployment automation. Comfortable across databases from MySQL and PostgreSQL to Neo4j and PrestoDB, he pairs pragmatic engineering with CI/CD, containerization, and orchestration (Jenkins, Docker, Kubernetes, Helm). His early research and internships produced tangible performance wins—an 18x speedup in genetic-algorithm code and scalable architecture-analysis tooling—illustrating a focus on algorithmic optimization and system-level improvements. Evgeny also brings academic rigor (PhD in Information Science) and teaching experience, enabling him to mentor teams and translate complex data problems into deployable solutions. Outside of work he mixes deep technical curiosity with diverse interests, including classical guitar and Chinese language studies, reflecting a habit of cross-disciplinary learning.
12 years of coding experience
6 years of employment as a software developer
Dipl.-Ing. (Cum Laude), Computer Science, Cumulative GPA = 4.94/5, Dipl.-Ing. (Cum Laude), Computer Science, Cumulative GPA = 4.94/5 at Tomsk state university of control systems and radioelectronics
Diploma of Music Education, Classical Guitar, Diploma of Music Education, Classical Guitar at Children's Music School №1
Coursera
PhD, Information Science, 3.98, PhD, Information Science, 3.98 at University of Pittsburgh
Short-term language studies diploma, Chinese Language, Short-term language studies diploma, Chinese Language at Shanghai International Studies University
High School Diploma, Math and Physics, 4.9/5, High School Diploma, Math and Physics, 4.9/5 at Regional Specialized Boarding School for Gifted children ”Murager”
English, Russian, Chinese