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Vladyslav Seliukov

@vladyslavseliukov

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Python Backend Engineer with expertise in high-load distributed systems and AI-powered infrastructure

Poland

Message

What I'm looking for

I’m looking for a team where I can build scalable Python backends and high-load APIs. I want to focus on ensuring reliability and optimizing performance across distributed components, and ship practical AI features

I am a Python Backend Engineer specializing in high-load distributed systems and AI-powered infrastructure. My focus is on building resilient architectures that solve complex bottlenecks and deliver measurable business value.

Currently, I am developing TicketCore, a high-load event booking API. I architected a PostgreSQL schema to handle concurrent bookings, solving race conditions via pessimistic locking and sustaining 2,500 RPS under load testing. I also implemented Redis Lua-script gatekeeping and an O(1) versioned-key caching strategy to mitigate database connection exhaustion during flash sales.

Previously, at Uni AI, I developed an async Whisper STT and LLM pipeline that reduced API costs by ~70% through batch processing. I engineered an event-driven task queue architecture using Arq to manage workflows during traffic spikes, and built a custom RAG pipeline using pgvector and OpenAI embeddings for semantic search.

My core technical stack includes Python, FastAPI, PostgreSQL, Redis, and Docker. I am currently pursuing a Bachelor of Science in Computer Science.

Experience

Work history, roles, and key accomplishments

Current

Independent Python 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

Python Backend Engineer

Uni AI

Mar 2025 - Dec 2025 (9 months)

Developed an async Whisper STT + LLM pipeline with advanced batch processing, cutting API costs by ∼70%.
Implemented a multi-tenant FastAPI/PostgreSQL backend utilizing strict Row-Level Security and RBAC for data isolation.
Built an event-driven task queue architecture to orchestrate complex logistics workflows during traffic spikes.