IT enthusiast.

I enjoy with automation, analytics and programming, as well as related areas.

In my free time I blog about maths, technologies and other interesting things.

• Email: hrustbas@gmail.com;
• Telegram: @wtukatyr.

• DevOps: Github Actions, Jenkins, Vagrant, Ansible, Docker.
• Linux administration: chmod, chown, ps, iptables, etc.
• Programming: python, C/C++, Haskell, R.
• Data analysis: numpy, pandas, SQL, etc.
• Data visualization: datalens, superset, seaborn, matplotlib.
• Common tools: bash/zsh, vim/neovim, git.

1. My dotfiles
   • Config files for my stack: i3+bash+neovim
2. Infogram-bot
   • Simple bot for fast identifying chat metadata, for further using it in different services (e.g. Zabbix, Jenkins, Github Actions, etc).
3. Biodocker
   • Docker building pipeline, that contains several bioinformatic tools.
   • Automated building and pushing to DockerHub workflow.

1. Disgrant
   • Deployment VMs via Vagrant and configuration via Ansible.
   • Demonstration how speeds up project build with remote compilers.
   • IaaC: All configs described in code (Vagrantfile, Ansible playbooks).
2. Django example app
   • Implementation CI/CD pipeline with linters, tests, builds and deploys using GitHub Actions and Jenkins.
   • Notification via Telegram API and Github Actions.
3. Systemd unit example
   • Monitoring the state of the target process.
   • Working or notification with API with curl.
   • Install script for easy deployment.

1. Library for region-based memory management
   • STB-style library for Region-based memory management
2. N-body visualization
   • C-program for solving N-body problem¹
3. Filetype prediction
   • Example of using neural networks to predict file type by it's signature.