Vladimir Bykanov

- Making generative suggestions with using LLM, PyTourch Deep learning and Natural Language Processing. - Using machine learning Gradient Boosting for regression and classification ranking of search elements. - Creation a high load architecture of web services for search suggestions of Yandex search with Kubernetes/Docker/Ansible. - Identify, develop and integrate methods for neural network optimization. - Writing high-performance multithreaded web servers with asynchronous interactions in C++ and Python

1) Deployment from scratch, implementation and system administration of the following systems: - Puppet configuration management system, Foreman - Nginx, Apache, PHP, Memcached, RabbitMQ, Git - MongoDB cluster, MariaDB DBMS system(MySQL) with GTID replication, Hadoop - Nagios, Munin, MRTG and Cacti monitoring systems - Named, DHCP, NTP, keepalived, haproxy, iptables, fail2ban - Bacula backup system 2) Configuring Cisco routers, switches and L3 switches: tunnels, VRF routing, OSPF, ACL, IPv6, NAT.