— PORTFOLIO

DMYTRO
VOLSKYI

SENIOR AI ENGINEER

I build multi-agent AI systems that ship to production.

01 — ABOUT

Background & Approach

I spent 6 years building systems that don't break — enterprise Java, Spring Boot, distributed microservices at GlobalLogic. That foundation is why my AI systems are different: they have durable event queues, per-tenant data isolation, real observability, and zero event loss across restarts. Not because those are nice to have, but because I come from a world where those are non-negotiable.

Today I architect multi-agent platforms where specialized AI agents collaborate through standardized protocols: MCP for tool access, A2A for inter-agent delegation, LangGraph for stateful orchestration. I don't just use the frameworks — I implement the protocols. Custom MCP HTTP servers with Streamable HTTP transport and RFC 9728 OAuth discovery. Full A2A systems with task lifecycle management, SSE streaming, and multi-turn flows. Per-user ChromaDB RAG with strict tenant isolation and shared fallback collections.

CURRENTLY SEEKING

I'm looking for a product company where the AI architecture is the product — not a thin wrapper around an API call. I thrive designing multi-agent orchestration systems, building MCP servers, and working with teams that treat observability and fault tolerance as first-class concerns, not afterthoughts. Remote only. Contract or full-time.

02 — SKILLS

Technical Stack

Protocol Engineering

MCP (Streamable HTTP, RFC 9728 OAuth discovery), A2A (task lifecycle, SSE streaming, multi-turn input-required flows), BYOK architecture, multi-tenant RAG isolation

Agentic Systems

LangGraph stateful orchestration, durable Redis event queues, per-user ChromaDB isolation, shared fallback collections, zero event loss design, n8n workflow automation

LLM Integration

OpenAI API, Anthropic Claude, Google Gemini, Groq, Ollama, OpenRouter · multi-model fallback · token cost optimization · structured output · prompt engineering

RAG & Knowledge

ChromaDB, Pinecone, pgvector, FAISS · embedding optimization · chunking strategies · GraphRAG · contextual retrieval · semantic caching (Redis)

Backend Foundation

Python (FastAPI, Pydantic) · Java 17 (Spring Boot 3, Spring Cloud) · PostgreSQL · Redis · Kafka · event-driven architecture · microservices

Infrastructure

Docker · Kubernetes · AWS (EC2, RDS, S3, EKS) · Terraform · GitHub Actions CI/CD · nginx · Cloudflare · OVHCloud VPS

Observability

Prometheus · Grafana · OpenTelemetry · cAdvisor · audit trails · GDPR compliance (right to erasure, data export)

03 — PROJECTS

Selected Work

01Jan 2026 — Present

Multi-Agent SDLC Orchestration Platform

GitHub automation powered by three specialized LangGraph agents on per-user ChromaDB RAG knowledge bases. Stateful workflow graphs with durable Redis event queues — zero event loss across restarts — and full Prometheus/Grafana observability.

LangGraphFastAPIChromaDBRedisPostgreSQLPrometheus/GrafanaGitHub Actions

CODE LIVE

02Feb 2026 — Present

Multi-Protocol AI Agent System (MCP + A2A)

Clinical AI demonstrating three protocols in production — SMART on FHIR for data access, MCP for LLM tool interfaces, and A2A for inter-agent delegation. Full task lifecycle with SSE streaming and multi-turn flows.

FastAPIMCP Streamable HTTPA2A ProtocolFHIR R4SSEOpenRouterDocker

CODE LIVE

03Sep 2024 — Present

AI-Powered Trip Planning App

Full-stack trip planning with AI route recommendations, 3D Mapbox terrain visualization, and semantic Redis caching. React 19 + Spring Boot 3 single-JAR deployment with Google OAuth and n8n workflow automation. Live in production.

React 19Spring Boot 3RedisMapbox GLn8nDockerPostgreSQL

CODE LIVE

04Apr 2024 — Present

Production n8n Automation Platform

Self-hosted n8n in queue mode on OVHCloud, backed by PostgreSQL and Redis. Powers Telegram bots, agentic AI workflows across OpenAI/Claude/Groq, custom MCP servers, and cross-service automation across all active projects.

n8nPostgreSQLRedisOVHCloudDockerMCP

04 — CONTACT