Back-end Engineer / @velzepooz
Glib Rulev

Glib Rulev.

├─ living in Valencia, Spain 🇪🇸
└─ from Mariupol, Ukraine 🇺🇦

§ 01

About

// bio

Hey! I’m a backend engineer with 6+ years of experience building fast, reliable, and scalable systems. I work mostly with Node.js, TypeScript, and NestJS, and love designing clean APIs and solid backend architecture that actually makes a difference for the product and the team.

I’ve worked across a range of projects — from startups to more mature systems — and I’m usually the one who not only builds the backend but also builds architecture and takes care of the CI/CD, cloud infrastructure (mostly AWS), and anything needed to keep things running smoothly.

What I’m into:

  • Backend stuff: APIs, system design, performance tuning
  • Databases & caching: PostgreSQL, MongoDB, Redis
  • Cloud & DevOps: Docker, GitHub Actions, AWS, GCP
  • Automation & AI: Always exploring smarter ways to build and ship

Lately, I’ve been diving deeper into AI and automation - building side projects, experimenting with tools like LLMs, and learning how to bring more intelligence into backend workflows. It’s a space I’m really excited about, and I’m always looking for new things to try or learn.

Outside of code, I enjoy working on passion projects, connecting with other builders, and finding ways to solve real problems with simple, elegant solutions.

§ 03

Work

// 3 roles
  • Jul 2022 → Now · remote
    LL

    Senior Back-end Engineer

    @Launch Labs
    • Led a team of backend engineers to develop a high-throughput sports training platform using NestJS, Fastify, GraphQL, MongoDB, Redis and WebSockets.

    • Architected and implemented end-to-end AWS infrastructure and CI/CD via Bitbucket Pipelines for deploying application services, enabling zero‑downtime releases across all services.

    • Designed a real-time chat service using NestJS, Redis and WS library for 10000 users.

    • Created an upload service with a media pipeline (handling 100 MB–10 GB assets) with Fastify, FFmpeg and Sharp for dynamic compression/transcoding and integrated AWS S3 & Glacier for cost-effective, scalable storage.

    • NestJS
    • Fastify
    • GraphQL
    • MongoDB
    • Redis
    • AWS
    • WebSockets
  • May 2021 → Jul 2022 · remote
    W

    Back-end Engineer

    @WizardsDev
    • Built a comprehensive sales automation application including mailing, web dialing and task scheduling with NestJS, Socket.io, PostgreSQL, Kafka and RabbitMQ and microservice architecture.
    • Engineered a browser-based telephony service using Twilio & SIP/WebRTC, enabling seamless inbound/outbound calls directly via web app.
    • Ensured code quality with comprehensive Jest tests covering 90% of critical paths.
    • Designed and implemented a robust email queuing system based on custom business rules and internal algorithms, dispatching thousands of emails daily while adhering to provider rate limits and preventing deliverability issues.
    • NestJS
    • PostgreSQL
    • Kafka
    • RabbitMQ
    • Socket.io
    • Twilio
  • Mar 2019 → May 2021 · remote
    PI

    Software Developer

    @Parimatch International
    • Developed a web service for tracking and collecting user web events on an application frontend using JavaScript, Node.js, NestJS, AWS.
    • Built RESTful APIs with Node.js, Express & AWS Lambda.
    • Built a dynamic landing‑page generator (Node.js + React), accelerating marketing campaign rollout by 60% and enabling A/B testing.
    • Node.js
    • NestJS
    • Express
    • React
    • AWS Lambda
§ 04

Projects

// 2 shipped
  • Skill Detector

    CLI tool written in Go to spot risky AI skill packages before you use them. Scans for injection, exfiltration, supply chain, and other threats.

  • TwiscanAI

    TwiscanAI is a SaaS application which tracks X.com user accounts and gets daily summaries of their tweets with AI.