AI / Agentic Architect · Generative AI Solutions Architect · Lead Full-Stack Engineer
Solutions architect and hands-on lead engineer with 15+ years of software delivery and a recent focus on production Generative AI systems, multi-agent platforms, and cloud-native enterprise delivery across Azure, Google Cloud, and AWS.
I design architectures that combine LLMs with retrieval, MCP/tool control planes, and deterministic guardrails — then implement and operate them end-to-end (UI, APIs, identity, CI/CD, and production hardening).
- Agentic AI and multi-agent orchestration
- RAG and enterprise knowledge systems
- MCP / A2A tool interoperability
- NLQ over operational metrics with citations
- Human-in-the-loop and deterministic validation
- Evaluation, observability, and guardrails
- AI governance for enterprise delivery
- Cloud-native AI platforms and CI/CD
Anonymized highlights from recent architecture and implementation work:
- Enterprise GenAI assistants — RAG, vector search, Microsoft identity/Graph workflows, MCP tool registries
- Commercial analytics AI — multi-source ingestion, anomaly/risk detectors, NLQ with factor citations, operational alerting
- Agent platforms — multi-service provisioning/runtime patterns on Cloud Run with secure CI/CD
- Voice agents — outbound orchestration with tool-backed booking (no hallucinated side effects)
- Cloud SaaS products — full-stack platforms on Azure and GCP with production-readiness practices
- Regulated enterprise systems — identity, search, portals, and integration-heavy Azure landscapes
AI
- Azure AI / Microsoft Foundry · OpenAI · Vertex AI / Gemini · Anthropic-oriented runtimes
- RAG · vector search (Pinecone / pgvector) · MCP · agent orchestration · NLQ · guardrails
Cloud
- Azure · Google Cloud · AWS
Engineering
- TypeScript · Python · C#/.NET · React / Next.js · Angular · Node.js · FastAPI
- PostgreSQL · MongoDB · Docker · Kubernetes · Terraform · GitHub Actions · Azure DevOps
- OIDC / OAuth2 / MSAL · secret management · Workload Identity Federation
| Repository | Focus |
|---|---|
| agentic-orchestration-platform | Multi-agent orchestration, tools, HITL, tracing |
| enterprise-rag-architecture | Production RAG pipeline patterns with citations |
| mcp-a2a-interop | MCP-style tools and A2A delegation |
| ai-eval-observability | Evaluation harness, guardrails, quality gates |
| azure-ai-foundry-copilot | Azure AI / Foundry / Copilot architecture seams |
| cloud-native-ai-ops | Containerized AI services, K8s, CI/CD |
- Microsoft Certified: Agentic AI Business Solutions Architect (AB-100)
- Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
- GitHub Copilot (GH-300)
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft: Frontier Transformation Engineer
- Microsoft: Fabric IQ+ Data Agents – Proficient
- Microsoft: Sovereign Cloud – Proficient
- Microsoft: Activate Organizational Intelligence with Microsoft IQ – Proficient
All badges: Credly profile
- M.Sc. Physics and Technology — Dnipropetrovsk National University
- M.Sc. Accounting and Auditing — Dnipropetrovsk National University
Principal / architect-level focus on system design and operational readiness for enterprise AI — architecture ownership with hands-on delivery, not tutorial demos.