Skills

Technologies and tools I work with, grouped by area. Each one shows my level and what exactly I do with it.

Showing 25 of 25

Frontend

  • NEXT.js

    Level: Advancedalso: Backend

    build this application with ssr and connect to graphQL server

  • React.js

    Level: Advanced

    Write own hoc use context.api and many things ....

  • Angular2+

    Level: Proficient

    use lib rx.js auth with azure

  • Jest

    Level: Proficientalso: Backend

    write tests for react components and backend functions and routing

  • mongoDb

    Level: Proficientalso: Backend

    write aggregationa with two colections, generate views, use mongoDB Compass, write select functions with pagination and project, use mongoose to connect

  • redux

    Level: Proficient

    use, Redux Toolkit

  • Socket.io

    Level: Proficientalso: Backend

    build communicator for contact clients with custom care department

  • tailwindCSS

    Level: Proficient

  • GraphQL

    Level: Basics

    write )

  • Storybook

    Level: Basics

    use with react write own design system

  • Webpack

    Level: Basicsalso: Backend

    basic config, add some plugins

  • LEAFLETJS

  • MaterialUI

  • Web Components

Backend

  • chatGPT

    Level: Proficientalso: Frontend

  • express.js

    Level: Proficient

    crud, connecting with mongoDb and socket.io

  • typescript

    Level: Proficientalso: Frontend

    custom gruards

  • NEST.js

    Level: Basics

    build this application with ssr and connect to graphQL server

  • TYPEORM

    Level: Basics

DevOps

  • Docker

    Level: Proficient

    config by Dockerfile run docker-compose,create config for applications on environment

Tools

  • AI Engineering & Automations

    Level: Proficientalso: Backend, Frontend

    I design and implement architectures based on language models and process automation—ranging from local deployments to advanced production applications:

    • Working with Models and the Ecosystem: Practical knowledge of and integration with leading models (Claude, ChatGPT, Gemini), as well as deploying lighter open-source models (e.g., via Ollam) on our own infrastructure.

    • Prompt Engineering & Best Practices: An advanced engineering approach to prompt creation (context structuring, prompt systems, thought chains) that ensures reproducibility and high precision in responses.

    • Production Deployments (AI in Production): Implementing LLM-based solutions in commercial systems and automating daily development and operational tasks.

    • Personal Automation and IoT: Integrating LLMs with the world of IoT and home automation to create intelligent systems that support daily processes and personal projects.

  • git

    Level: Proficient

    know git-flow use command for daily work, create branches for features, create merges with

  • Jira

    Level: Proficient

    work with backlog and scrum, write own SQL selects, dashboards, and charts for statistics,

    write small application for visualization team statistic from worklogs , and

  • bash

    Level: Basicsalso: DevOps

    basic level for write own small scripts

  • photoshop

    Level: Basics

    simple basic operation on picture, retouch , add filters, adjust brightness add other postproduction settings