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bizoxe/README.md

Alexander Matveev

Python Backend Engineer | Async Performance & Architecture

Backend Development

  • Core: Python (Asyncio), Pydantic v2, Type-safe development (Mypy strict).
  • Frameworks: FastAPI.
  • Data Access: SQLAlchemy v2.0 & Advanced Alchemy (Repository & Service patterns), Alembic.
  • Data Layer: PostgreSQL (Query Optimization), Valkey (Redis fork), PgBouncer.

Infrastructure & Quality

  • Environment: Linux (Debian 12), Angie (Nginx fork).
  • DevOps & Automation: Docker & Docker Compose, GitHub Actions, Bash scripts, Dependabot.
  • Quality Control: Pytest, Static Analysis (Ruff, Mypy), Conventional Commits, ADR.

Projects in Focus

IronTrack — an open-source research platform for testing production-oriented patterns under infrastructure constraints.

  • Performance: 6.5x reduction in P99 latency via hybrid DTO (Pydantic + msgspec).
  • Concurrency: Resolved Event-Loop blocking by offloading Argon2id hashing to thread pools.
  • Security: Migrated to Ed25519, increasing auth throughput by 48%.
  • DB Tuning: Optimized PostgreSQL for HDD (random_page_cost) and PgBouncer pooling.
  • Deep Dive: Technical analysis and benchmarks available in ADR-001.

GitHub Metrics

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Contact Details

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  1. iron-track iron-track Public

    Async backend research platform: testing production-oriented patterns, high-concurrency performance, and infrastructure constraints. FastAPI • PostgreSQL • ADR.

    Python