Dmitry Vashkevich

During my work I:
- researched and experimented with various LLMs (GPT, Claude, Gemini, DeepSeek)
- used and implemented AI in all my work: code generation, bug research, codebase refactoring (Kilo code, Cursor AI), code review (GitHub Copilot), even for business logic decision making (ruby-openai, ruby_llm)
- added metrics, graphs and automatic alerts (AppSignal, New Relic, Datadog) - reduced err

During my work I:
- successfully led and trained my team of 6–10 members (Mentoring, Management, Communication, Documentation)
- wrote a 3DSecure server (wrapper for java library using Jruby and Rails API) that enabled fraud protection for 100% of our transactions.
- wrote a statistics aggregator (Clickhouse, Elixir, Phoenix API) capable of handling and processing over 100m transactions.
- added m

During my work I:
- refactored tons of legacy code (Rails since version 3 and Ruby since 2.1.2).
- got a lot of experience in creating APIs (Rails, Sinatra, Sidekiq, Postgres, Redis, Kibana, Cucumber, Rspec).
- wrote integrations with over 20 external services with various communication protocols and encryption methods. Mainly payment systems and banks (JSON, XML, SOAP, MD5, SHA1, AES, RSA)

Learning:
- Server for playing Life
- Accounting service for individual entrepreneurs (Ruby on Rails, Postgresql, Javascript, Rspec)

Learning ruby:
- Parsing sites and texts (Linux, Ruby, Nokogiri)
- Server for playing Tetris (Algoritms, Optimization)
- Telegram Bot
- Resource exchange (Ruby on Rails)
- Server for participation in a quiz (Heroku, Deploy ruby app)