EPAM Systems
|Architect
Summary
Led the architecture and design of an enterprise Document AI (DocAI) platform, establishing foundational platform capabilities to support intelligent document processing at scale. Defined architectural patterns, governance models, and cross-cutting concerns enabling multiple product teams to deliver AI-driven solutions consistently and reliably.
Highlights
Architected a shared enterprise DocAI platform chassis, providing reusable capabilities across multiple document intelligence workstreams Defined platform boundaries, component responsibilities, and integration patterns to ensure scalability, maintainability, and team autonomy
Established data governance foundations including metadata management, data lineage, and asset lifecycle tracking across AI pipelines Designed provenance and auditability models to meet enterprise compliance and traceability requirements
Defined the orchestration architecture for reliable, fault-tolerant document processing workflows, enabling consistent handling of failures, retries, and exception scenarios
Architected platform-wide observability, exception handling, and configuration management strategies adopted across all platform services Drove API contract standards and architectural guardrails to enforce consistency across teams