•Frontend — Microfrontend ArchitectureOwned 6 AppFabric React microfrontend plugins (20+ widgets) deployed independently and composed at runtime across VEP, TurboTax Live, QBOA, and IEP shells. Introduced TypeScript, semantic-release versioning, IDS-TS design-system tokens, multi-theme support (proconnect / quickbooks / intuit), and locale i18n.
•Frontend — Embedded GenAI (GenUX)Built vep-experiences-ux as the embedded GenAI UI layer: streaming chat reply UI with token-by-token rendering (useChatHistory / useSubmitTask), task-card pager with dismiss flows, quick-action panels, flow-automation cards with cancellation modals — all backed by per-card analytics beaconing and RUM via Web Shell.
•Frontend — Performance, Testing & AccessibilityInstrumented Real User Monitoring through @shell/lib/rum, AppDynamics, and per-widget event beaconing to track Core Web Vitals. Built test coverage with Jest + React Testing Library unit suites and Cypress / Playwright E2E across client and expert flows, plus ESLint/Prettier/Husky pipelines, accessible token-based UI primitives, and PubSub messaging between widgets to reduce coupling.
•Mentoring & Technical LeadershipMentor junior and mid-level engineers through code review, pairing, and frontend-architecture guidance. Set the TypeScript, testing, and design-system conventions adopted across all six microfrontend plugins, and drove the migration that introduced TypeScript and semantic-release versioning to the platform.
•Type-Safe GraphQLDesigned the Expert Engagement Service GraphQL schema and resolver layer over a multi-tenant data model, with auto-generated typed Java clients via Maven introspection and Apollo Client driving typed query/mutation flows on the UI — end-to-end type safety from schema to widget.
•Agentic AI PlatformDesigned and shipped production AI agents (vep-engagement-agent, servicedesign, servicedelivery, collab-agent-service) using LangGraph state machines with planner-executor pipelines, typed tool calling, multi-agent (A2A) composition, streaming SSE responses, and LLM-as-judge evaluation across coherence, hallucination, safety, intent-relevancy and voice-and-tone.
•Schema-Grounded LLM WorkflowsAuthored a JSON-schema service-blueprint metamodel (KYC, tax-advisory, AIO, TTFS) with reusable skill packs to enable structured, schema-grounded LLM workflows.
•Multi-Tenant Backend PlatformDesigned the Expert Engagement Service (Java 21 / Spring Boot, GraphQL, AWS SNS) — the multi-tenant contract-lifecycle backbone for Intuit's expert platform. Swimlane-isolated tenants drive per-Engagement-Type config and behavior across TurboTax, QBOA, small-business.
•Engagement AI & Priority RoutingShipped the Engagement AI Service (Python / FastAPI) and VEP Engagement AI NUMA (Java 21 / Spring), delivering AI-driven engagement signals and priority scores that route work to the right expert at the right time.
•Collaboration & Document ServicesContributed to 15+ Java microservices including Request Service, Info Gathering Service, IG Orchestrator, Automated Request Manager, Task Service, Return Download Service (password-based encrypted PDF delivery), and E-Signature (Cassandra with embedded signing widgets).
•Cross-Platform MobileDelivered Collab Request mobile apps in Swift (iOS) and Kotlin (Android) for real-time expert–client document requests and collaboration on the go.