Node.js Engineer

I develop internal software and also take care of the infrastructure it runs on. The systems are used daily by the organization.

• Develop and maintain internal tools for staff lookup, system monitoring, and telemetry data.
• Work with Windows Server, Hyper-V, and Linux servers and virtual machines.
• Maintain infrastructure used for collecting IoT metering data.
• Automate repetitive administrative tasks with PowerShell and Python.

Internal web application used for staff lookup, system monitoring, and telemetry-related tasks.

• Develop and maintain the application used by staff every day.
• Build tools for staff lookup and infrastructure monitoring.
• Work with the servers and virtual machines behind the application.
• Maintain parts of the IoT metering data collection pipeline.
• Automate routine administrative work with PowerShell and Python.

A multi-tenant CRM with real-time messaging, background jobs, and subscription billing.

• Built the backend with NestJS, PostgreSQL, Prisma, and Redis.
• Designed tenant isolation at the database layer.
• Built real-time chat and notifications with Socket.IO and Redis Pub/Sub.
• Added background processing with BullMQ for webhooks, message delivery, and other asynchronous tasks.
• Integrated Cloudflare R2 for file storage.
• Integrated Lemon Squeezy for subscription payments and webhook handling.

Telegram bot that downloads YouTube videos, converts them to audio, and delivers the result through Telegram.

• Built the bot backend with NestJS.
• Added an FFmpeg-based audio conversion pipeline.
• Implemented queue-based processing for downloads and conversions.
• Handled Telegram Bot API streams for audio delivery.

Control system that pairs ESP32/ESP8266 boards with a Node.js backend and a React dashboard.

• Wrote C++ firmware for sensor reading and actuator control over WebSockets.
• Designed the communication layer between the hardware and the web dashboard.

A personal C++/Win32 experiment focused on process memory, memory layouts, and world-to-screen projection.

• Read data from another process using the Win32 ReadProcessMemory API.
• Investigated memory structures and offsets with x64dbg and Cheat Engine.
• Implemented the world-to-screen calculations needed to project 3D positions onto the screen.
• Used the project to learn more about Windows process memory and low-level programming.