stepoleggg

Led the design and development of multiple business process management microservices of the OSAGO Insurance team using the latest features of Java, Spring, PostgreSQL, Oracle DB, Etcd, OAuth and Keycloak. Designed and implemented a scalable system responsible for decision-making of lead-sale-issuement process of car insurance product “OSAGO” using Drools, Wildfly, Spring microservices that serves thousands of lead requests every day. Enabled in-depth service logging, analyzed causes of bugs and failures, created new features using trunk based development applying the Kanban methodology. Continuous integration/Deployment pipeline integration, Code Reviews, Load Testing, Unit Testing.

Supported legacy code base, developed new business features for customer’s healthcare program system using such technologies as Java EE, Spring, MSSQL DB, Apache Tomcat. Drived the improvement and updating process of tech stack to bring scalability to the project. Regularly worked with the testing team and product owner to choose the most optimal ways to migrate from monolith architecture to microservices and discuss testing scenarios. Analyzed logs and metrics to optimize program processes and algorithms.

Developed a new tax calculation and analyzing system that searches mistakes, identifies inconsistencies and exports reports for administrative institutions. Designed and implemented both the server side and client side as well using Java, Spring, PostgreSQL, JavaScript, Apache Tomcat. Created the search engine that allows to filter and find real estate objects among hundreds of thousands of properties in the region. Designed frontend pages to provide a quality user experience. Continuous integration/Deployment pipeline integration, Code Reviews, Load Testing, Unit Testing.

Led the development of the image analyzing system in the Computer Vision team that computed the quality of power lines based on height of plants under them implementing the latest algorithms of machine learning, the Unet256 model and capabilities of Python’s frameworks: Keras, TensorFlow. Curated the learning process of the neural network, made decisions depending on the accuracy metrics, presented results for management.