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Vladyslav Seliukov

@vladyslavseliukov

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Backend Engineer with experience building scalable APIs and high-load infrastructure

Poland

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What I'm looking for

I’m looking for a team where I can design scalable Python backends and high-load APIs, own reliability/performance across distributed components, and ship practical AI features—while using observability, testing, and cost-aware pipelines.

I am a Python Backend Engineer focused on building scalable APIs, high-load infrastructure, and applied AI systems. My core expertise lies in solving complex distributed system bottlenecks - from handling 2,500 RPS with zero-duplicate concurrent bookings to engineering custom RAG pipelines with pgvector.

Key technical achievements include:

Architecting an event-driven booking system that handles 2,500 RPS using PostgreSQL pessimistic locking to eliminate race conditions.
Optimizing asynchronous LLM and Whisper STT pipelines with advanced batch processing, reducing API costs by ~70%.
Implementing O(1) versioned-key Redis caching and multi-layered idempotency to guarantee zero duplicate transactions during high-traffic flash sales.

Experience

Work history, roles, and key accomplishments

Current

Independent Backend Engineer

Current

TicketCore

Jan 2026 - Present (5 months)

Solely architected a scalable PostgreSQL schema for concurrent bookings, eliminating race conditions to support 2,500 RPS with zero duplicate transactions. Used Redis Lua gatekeeping and Arq dual-layer garbage collection to prevent Redis–Postgres desync and mitigate connection exhaustion during flash sales, deploying on AWS (EC2, RDS).

Python fastAPI PostgreSQL Redis Arq AsyncIO Distributed Systems AWS RDS