Presentation
What I do:
AI/LLM systems — RAG pipelines, multi-agent workflows, prompt and evaluation infrastructure, guardrails, and cost/latency optimisation for LLM features that have to work in production, not just in a demo.
Backend & APIs — Go, Ruby on Rails, Node.js/TypeScript and Python. REST and gRPC services, event-driven architecture with Kafka, background job systems, and third-party integrations (payments, CRM, ERP).
Data & ETL — I built a petabyte-scale ETL platform with hundreds of connectors and LLM processing layers: ingestion, normalisation, scheduling, retries and observability.
Production readiness — distributed tracing with OpenTelemetry, Datadog dashboards, SLOs, CI/CD and AWS infrastructure.
How I work: I start from the business problem, propose the smallest architecture that actually solves it, and ship in reviewable increments. Clear written updates, tested code and documentation the next engineer can pick up.
Available for short technical audits and prototypes as well as long-term engagements. I work in English, Russian and Ukrainian.


