Pxl.dev
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Hi, I‘m DanLogoproviding robust & scalable solutions to your problems

The one, who can envision, build, make it live.

planning, building, deploying at @pxlrs.dev

[pxl@dev ~] $

Core Skills

Languages

Languages

TypeScriptJavaScript
Backend

Backend

BunNodeJSExpress
Databases & Caches

Databases & Caches

MongoDBRedis
Frameworks

Frameworks

NestJSReact & NextJS
Self-Hosting

Self-Hosting

ProxmoxLocal AIMinIOn8nCaddy / NginxVaultwarden
Tools

Tools

DockerMermaidGitHubGH ActionsCode-OSS

Projects

Enterprise-grade Telegram Mini App

From the idea to the launch, I designed the architecture, developed the backend & frontend, and successfully deployed scalable, secure, and feature-rich Telegram Mini App.

Key Achievements:

  • Designed the architecture that can handle 1000+ requests per minute with a single server
  • Deployed, secured and scaled the application on bare metal servers
  • Integrated various AI-tools for image generation, filtering NSFW
  • Leveraged MongoDB features for time-based, event-driven and realtime data updates
  • Saved 30% of the project costs by self-hosting various services on the bare metal servers
NextJSDevOpsMongoDBNginx

Telegram Bots Ecosystem

Designed, deployed and keep maintaining a set of Telegram Bots for various purposes.

Key Applications:

  • Various private/paid groups management bots with automatic blockchain payment gateways
  • Bots for reliable cryptocurrency alerts (24/7 uptime)
  • Group half/full automatic moderation for large communities
  • Multi-admin support bots for user reachout
  • News multi-source aggregation with AI ads filtering
  • Local AI-driven applications, both for regular bots and userbots
  • Using bots as a simple UI for self-hosted and personal projects
grammYMTCuteMTProtoNode Telegram Bot APIMongoDB

Scalable Microservices Architecture

Designed and implemented a microservices architecture handling 1M+ daily requests with 99.99% uptime

Key Achievements:

  • Containerized microservices with Docker and Docker-compose
  • Designed event-driven architecture using Redis Streams
  • Achieved 40% reduction in response times
  • Implemented CI/CD pipeline with GitHub Actions
DockerGH ActionsMongoDBRedis

Real-time Data Processing Pipeline

Built a robust data processing service handling 100+ cryptocurrency exchanges, processing 10k+ trigger events daily

Key Achievements:

  • Integrated multiple UIs for interaction with 100+ CEX and DEX
  • Designed fault-tolerant scalable architecture
  • Implemented reliable real-time notification system
  • Optimized data processing for 1000+ simultaneous users
NestJSRedis StreamsMongoDBDocker