Landing page
One page that explains your offer and brings leads
Hi, I'm Vitalii Fedin. From real-time computer vision in the browser to interactive simulations and self-hosted AI transcription, every project below is live, working and deployed on a server I set up and run myself.
Different domains, one standard: clean UI, real engineering underneath, and a working demo you can open in one click.
Protects a client's website preview with removable watermarks until the invoice is paid. Drop the site folder, flip the switches, download a protected copy. Unlock with a code or from your own server.
An interactive primer on the most widely used feedback controller in industry. Read the theory, then drag the gains and watch a live plant react: overshoot, oscillation and settling, in real time.
Upload audio or video and get an accurate transcript with timestamps, auto-detection of the spoken language, an optional translation and export to TXT, JSON or PDF. Speech recognition runs on my own server with whisper.cpp, no paid API behind it.
Camera effects that stick to your body in real time. Hands and face are tracked right in the browser, and effects render only inside the regions you choose: finger gaps, palm, eyes, a portal between both hands.
Starting prices. The final price is fixed after a short talk about your project.
Tell me about the idea through the form or any messenger.
A few questions in chat or a quick call to understand what you need.
You get a clear price and deadline before any work starts.
Regular previews, so you see the result while it's being built.
The finished project, deployed and handed over to you.
React, TypeScript and plain JS. Real-time rendering with WebGL and Canvas, smooth animation loops, and interfaces that stay clean and responsive on any screen.
On-device body tracking with MediaPipe and self-hosted speech recognition with Whisper. Turning ML models into features people can actually use.
Node.js and Python: APIs, job queues, child-process workers and Telegram bots. Linux servers, nginx, TLS, systemd services and firewalls, set up and maintained by hand.
Private automation tools for myself and clients. They aren't public demos, but I'm happy to show the code.
Controls a Windows PC from Telegram: screenshots, launching installed apps from a paginated menu and running PowerShell commands, locked to a whitelist.
Finds tracks through the YouTube Music API, processes audio with FFmpeg and turns any audio file into a Telegram voice message.
No platform magic: every request to this page goes through infrastructure I configured myself on an Oracle Cloud Ubuntu machine.
:443/ · /pid/ · /fx/ · /shield//transcriber/whisper-cliDescribe the idea in a few words and I'll reply with questions or a quote.