Backend developer building production-grade systems since I was 13, with a strong focus on architecture, performance, reliability, and practical engineering. I am preparing for a Computer Science degree and passionate about backend engineering, system design, and open source.

I build tools that combine software engineering with real-world operational constraints: caching, resilience, observability, CI/CD, and cloud deployment. I also ski competitively and keep my development rhythm balanced with a demanding training schedule.

• 🎓 Preparing for a Computer Science degree
• ⚙️ Building production-grade systems since age 13
• 🧠 Focused on backend architecture, APIs, infrastructure, and reliability
• ❄️ Founder of Weatherender Foundation
• 🌐 Personal site: lyapinalexey.github.io

Production-grade weather intelligence platform built with Flask, FastAPI, PostgreSQL, Redis, Docker, CI/CD, Pytest, k6, and PyPI packaging.

Features:

• real-time weather and 3-day forecast
• SSCI snow condition analysis for alpine use cases
• web UI + CLI + async API in one product
• Redis cache + graceful fallback logic
• PostgreSQL persistence and Alembic migrations
• Render + Supabase + Upstash production deployment
• automated testing and k6 performance validation

Links:

• GitHub
• Live demo
• PyPI
• Docs

• Python backend experiments and automation tools
• algorithms and data structures practice
• system design and reliability projects
• API and infrastructure tooling for production environments

Python • SQL • Bash • C • C++

Flask • FastAPI • SQLAlchemy • Alembic • Pydantic v2 • Marshmallow • REST API design • OpenAPI / Swagger

PostgreSQL • Redis • async data access • migrations • distributed cache strategies

Docker • Docker Compose • GitHub Actions • Render • Prometheus • structured JSON logging • Pytest • k6 • Ruff • Mypy

C++ • AWS • system design • distributed systems • cloud architecture

Founder of Weatherender Foundation and Overclock Foundation, with a focus on building practical, production-grade tools for real users.

The projects combine:

• backend engineering
• operational reliability
• observability and testing
• deployment and automation
• developer experience and documentation

Recognition:

• 🏅 My Kotlin/Android implementation from Weatherender was selected by XERJ (an AI-native search engine with 19k+ stars) for their public Corpus Hub as a reference for coding agents.

Built by Alexey Lyapin • GitHub • Website