Software development · Python · Automation

Python & Web Developer building practical software systems

I build web applications, automation tools and data-driven software, with a focus on Python, backend logic and solving real-world problems.

My recent work includes a Python-based home automation system connected to real hardware and an adaptive learning application with automated content generation and quality-control tooling.

View Projects GitHub

Selected work

Selected Work

Two projects that best represent how I approach software development: understand the problem, choose the simplest architecture that fits it, make the important decisions explicit, and iterate until the system works reliably.

Python · Automation · Full stack

AC Automation

A Python-based home automation system that controls a real Mitsubishi air conditioner through MELCloud, using indoor and outdoor conditions, scheduled decision logic and historical data to make more context-aware control decisions.

The system combines a FastAPI backend, scheduled automation, rule-based adaptive analytics, a React operator dashboard and multiple safety layers designed around the fact that the software controls physical hardware.

Python
FastAPI
APScheduler
SQLAlchemy
SQLite
Pydantic
React
TypeScript

1,832
Automated tests: 19
Dashboard sections: Real hardware
MELCloud integration

View Case Study GitHub

React · Product · Automation

Literatura Quiz

An adaptive learning web application for Bulgarian high-school students that prepare for Bulgaria's state matriculation exam in Bulgarian Language and Literature.

It combines 702 verified questions, personalized practice based on previous performance, deterministic content generation and automated quality-control scripts, all inside a fully static React application with no backend or user accounts.

JavaScript
React
Vite
Node.js
JSON
localStorage
Vercel

702
Verified questions: 41%
Generated automatically: 49 → 0
High-severity QA findings

View Case Study Live App

How I work

I like building software around real problems rather than adding complexity for its own sake.

That means choosing architecture based on actual constraints, separating business logic from I/O, making failure modes explicit, testing important behaviour and documenting why a technical decision was made, not only what was implemented.

I value readable code, explicit trade-offs and systems that can be understood and debugged rather than treated as black boxes.

Technical Focus

Backend & Python

Python
FastAPI
REST APIs
Pydantic
SQLAlchemy
SQLite
asyncio
threading
pytest

Web

React
TypeScript
JavaScript
Vite
HTML
CSS

Engineering

Git
GitHub
API integrations
automated testing
data processing
debugging
system design

Automation

scheduled jobs
rule-based decision systems
data pipelines
Node.js scripts
QA automation

Let’s connect

I’m currently focused on growing further as a software developer, particularly in Python, backend development and automation.