— PORTFOLIO
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 ship agentic systems to production. At GlobalLogic I built an agentic CI system (Claude Code + LiteLLM) that autonomously integrates upstream open-source commits with human-in-the-loop guardrails — and resolved a platform upgrade stalled for 22 months. On my own platforms I implement the protocols, not just the frameworks: 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, and LangGraph orchestration over per-user ChromaDB RAG with strict tenant isolation.
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, Claude Code, LiteLLM, durable Redis event queues, per-user ChromaDB isolation, shared fallback collections, zero event loss design, n8n workflow automation
LLM Integration
Anthropic Claude, OpenAI API, Google Gemini, Groq, Ollama, OpenRouter · multi-model fallback · token cost optimization · structured output · prompt engineering · evaluation harnesses
RAG & Knowledge
ChromaDB, Pinecone, pgvector, FAISS, Neo4j · GraphRAG · embedding optimization · chunking strategies · contextual retrieval · semantic caching (Redis)
Backend Foundation
Python (FastAPI, Pydantic) · Java 17 (Spring Boot 3, Spring Cloud) · Go · PostgreSQL · Redis · Kafka · event-driven architecture · microservices
Infrastructure
Docker · Kubernetes · AWS (EC2, RDS, S3, EKS) · Terraform · Ansible · GitHub Actions CI/CD · nginx · Cloudflare · OVHCloud VPS
Observability
Prometheus · Grafana · OpenTelemetry · cAdvisor · audit trails · GDPR compliance (right to erasure, data export, retention automation)
Certifications
Neo4j Certified Professional · 10× Anthropic (Claude Code in Action, Building with the Claude API, Claude in Amazon Bedrock, Claude with Vertex AI, Subagents, Agent Skills, and more)
03 — PROJECTS
Selected Work
04 — CONTACT
Let's Talk
Interested in AI systems, agentic platforms, or consulting? Drop a message — I read everything.
Based in Ukraine. Available for remote contracts, consulting, and full-time roles. Response time: 24–48h.