Konstantin Emelyanov

Led a large-scale infrastructure modernization project, moving company infrastructure to Kubernetes and migrating legacy services to a microservices architecture. Designed the architecture of an AI-powered system and led a cross-functional team of approximately 10 specialists.

Coordinated a cross-functional team and designed the architecture of an AI-powered job-matching platform, integrating ML models and developing backend services and APIs for ML integration.

Developed APIs for a regional portal of public services and systems of interdepartmental interaction, resulting in 17 new government services. Also developed an automated workplace for employees and a master data management service.

Developed information systems, assessed estimation of terms and cost of development, and conducted analytics of existing solutions and building new architectural solutions.

Developed and designed a map subsystem and data storage system for an off-road social network, and developed data processing algorithms and APIs for web, Android, and iOS clients.

Developed algorithms and models of spatial analysis and used image classification algorithms, including supervised and unsupervised methods.

Developed a system for job search using Java, Spring, Spring Boot, Spring Security, ElasticSearch, Redis, and Kafka.

Completed refresher courses and obtained a certificate of professional development.

Pursued a Master's degree in Information Systems and Technologies, focusing on engineering principles and applications.