Vitalii Serbyn

I've been shipping production systems for 12+ years. Started building Android apps at EPAM and GlobalLogic — one of them (Magisto) hit 100M+ users and won a Google Play award. Led teams of 2-6 engineers, owned release trains, and learned the production discipline that I now apply to AI systems.

Since 2024, I've designed and shipped production AI systems through my UK company (Easelect LTD). Ascend is an orchestration daemon with 27 agents (18 mature) and 1,178 automated tests, managing code review, deployments, monitoring, and client reports — all trust-gated with L0-L4 policy enforcement. Crest is an AI content platform with a 6-stage LangGraph pipeline, Thompson Sampling for variant optimization, multi-model routing, and multi-platform publishing — deployed live with 91+ tests.

On the client side, I solo-architected a Web3 token launchpad on Solana (Next.js + NestJS + FastAPI, real-time blockchain indexing, 80-90% RPC cost reduction through Redis caching and bot detection) and a healthcare platform serving 10k+ users across 4 Flutter apps. PersonSearch is a 30-agent autonomous OSINT platform with dynamic sub-agent spawning. Forge UI is a 6-agent development system with 38 MCP tools for the full Flutter dev lifecycle.

Across all projects, I build the same infrastructure: multi-model routing by task complexity (GPT-4o for critical decisions, GPT-3.5 for bulk work — 70% cost reduction), full observability with Prometheus/Grafana/Jaeger/Sentry, and cost controls from day one. Every system has health checks, circuit breakers, and graceful degradation built in.

I also build my own AI development tooling. Every project runs on a custom MCP (Model Context Protocol) stack — I built semantic Code-RAG servers using ChromaDB and Sentence-Transformers for codebase-wide pattern search before writing new code. My development workflow uses multi-agent pipelines: a 9-agent system handles intake → research → spec → implementation → QA → review, with a gate system that kills 70% of feature ideas at signal validation before any code is written. Across Assisterr, 3 parallel agents coordinate across 8+ repositories using shared memory with strict namespace isolation. I don't just build AI systems — I use AI agents to build them.

I work remotely from Kyiv. Easelect LTD is structured for international contracts (UK-registered, W-8BEN-E for US clients).