I'm a Solution Architect at EPAM Systems focused on AI-powered systems, agentic architectures, and distributed platform engineering. I design and ship production-grade AI platforms that bridge the gap between ML research and real-world enterprise deployments.
production_rag → multi-tenancy · hallucination detection · cost budgets · audit
agent_orchestration → LangGraph · Anthropic Agent SDK · A2A protocol
mcp_servers → expose tools + data to agents safely
ai_observability → tracing · evals · monitoring at scale
platform → OpenShift / Kubernetes-native AI deploys
🧠 multi-agent LLM systems · 📚 production RAG · 🧩 MCP servers · 🤖 A2A protocol · 📡 AI observability
AI / ML
Backend & APIs
Databases & Messaging
Infrastructure & Cloud
Frontend
🛡️ SentinelRAG · flagship
Multi-tenant, RBAC-aware, evaluation-driven enterprise RAG platform
Production-shaped RAG with pgvector hybrid retrieval, layered hallucination detection, immutable audit, and per-tenant cost budgets. Multi-cloud Terraform, Helm + ArgoCD, k6 + Chaos Mesh resilience tests, and 30 ADRs explaining every non-obvious decision.
Python FastAPI Temporal PostgreSQL pgvector Redis Helm ArgoCD Terraform Kubernetes
360° AI-powered software testing intelligence platform
Ingests test results from 50+ frameworks, correlates failures using a LangChain ReAct multi-agent network, and delivers structured root-cause analysis. Air-gapped LLM support via Ollama; OpenShift/Kubernetes native.
Python FastAPI LangChain LangGraph PostgreSQL MongoDB ChromaDB React Kubernetes
Local-first test failure intelligence for CI pipelines and QA teams
Turns raw automated test results (JUnit, pytest, TestNG, Allure, Cypress, Playwright…) into actionable failure intelligence and release-risk signals — GO / CONDITIONAL_GO / NO_GO. Local-first, offline-capable, exposed via API / CLI / UI / MCP.
Python TypeScript MCP Ollama Docker Compose Kubernetes
More AI projects — AgentMemory · Building AI Agents · PydanticAI Practice · Python AI Agents Demo
🧩 AgentMemory — Guides & deep dives on memory-augmented AI agent systems: short-term, long-term, episodic, and semantic. Mermaid Documentation AI Agents
🤖 Building AI Agents — Reference patterns for tool-use, planning, multi-step reasoning, and agent composition. Python LangChain LangGraph
🐍 PydanticAI Practice — Type-safe agents, dependency injection, structured outputs, and streaming. Python PydanticAI
🧪 Python AI Agents Demo — CLI demonstrating tool use, multi-step reasoning, and ReAct loops. Python LangChain CLI
📚 Learning & Knowledge
AIEngineer · Vector Databases · Redis Practice · 100 Days of ML · Web UI Automation · NeetCode Submissions
Top tier — all verified on Credly
| Certification | Provider | Validity |
|---|---|---|
| Professional Cloud Architect | Google Cloud | Expires Dec 2026 |
| Professional ML Engineer | Google Cloud | Expires Feb 2028 |
| Professional Data Engineer | Google Cloud | Expires Dec 2027 |
| Generative AI Leader | Google Cloud | Expires Feb 2029 |
| Solutions Architect – Associate | AWS | Expires Nov 2027 |
| ML Engineer – Associate | AWS | Expires Oct 2027 |
| AI Practitioner | AWS | Expires Oct 2027 |
| AI Agents Core Components | O'Reilly | Issued Mar 2026 |
View all 25 certifications
☁️ Google Cloud (9)
| Certification | Validity |
|---|---|
| Professional Cloud Architect | Expires Dec 2026 |
| Professional ML Engineer | Expires Feb 2028 |
| Generative AI Leader | Expires Feb 2029 |
| Professional Data Engineer | Expires Dec 2027 |
| Professional Cloud DevOps Engineer | Expires Feb 2028 |
| Professional Cloud Network Engineer | Expires Feb 2028 |
| Professional Cloud Database Engineer | Expires Feb 2028 |
| Associate Cloud Engineer | Expires Oct 2028 |
| Associate Data Practitioner | Expires Dec 2027 |
⚡ Amazon Web Services (8)
| Certification | Validity |
|---|---|
| Solutions Architect – Associate | Expires Nov 2027 |
| ML Engineer – Associate | Expires Oct 2027 |
| Data Engineer – Associate | Expires Oct 2027 |
| AI Practitioner | Expires Oct 2027 |
| Developer – Associate | Expires Aug 2028 |
| Cloud Practitioner | Expires Aug 2028 |
| Well-Architected Proficient | Issued Jan 2026 |
| GenAI Essentials Partner | Issued Nov 2024 |
🔷 Microsoft Azure (3) — AZ-900 · AI-900 · DP-900 · Issued Jan 2022
🎓 O'Reilly (4) — AI Agents Core Components · Getting Started with LangGraph · Microservices Data Decomposition · AWS S3 Hands-on
🏢 IBM (1) — Enterprise Design Thinking Practitioner · Issued Mar 2025
📋 View 30+ Google Cloud skill badges
| Skill Badge | Issued |
|---|---|
| Build & Deploy ML Solutions on Vertex AI | Jan 2025 |
| Build a Data Warehouse with BigQuery | Mar 2025 |
| Engineer Data for Predictive Modeling — BigQuery ML | Mar 2025 |
| Prepare Data for ML APIs on Google Cloud | Mar 2025 |
| Create & Manage Cloud Spanner Instances | Mar 2025 |
| Implement DevOps Workflows in Google Cloud | Mar 2025 |
| Monitor & Log with Cloud Operations Suite | Mar 2025 |
| Develop Serverless Apps with Firebase | Jan 2025 |
| Develop Serverless Applications on Cloud Run | Dec 2024 |
| Share Data Using Google Data Cloud | Dec 2024 |
| Protect Sensitive Data with DLP | Nov 2024 |
| Implement Cloud Security Fundamentals | Nov 2024 |
| Create & Manage Bigtable Instances | Nov 2024 |
| Automate Data Capture with Document AI | Nov 2024 |
| Build a Data Mesh with Dataplex | Nov 2024 |
| Networking Fundamentals on Google Cloud | Nov 2024 |
| Deploy Kubernetes Applications on GCP | Nov 2024 |
| Build Infrastructure with Terraform on GCP | Nov 2024 |
| Implement Load Balancing on Compute Engine | Nov 2024 |
| Text Prompt Engineering Techniques | Nov 2024 |
…and more on Credly.
Evidence depth — badge count behind each verified skill.
I'm always open to discussing AI system architecture, agentic workflows, and platform-engineering challenges.
"The best architecture is the one that disappears — letting AI do the work."