• Technical lead for AI-powered observability and digital experience monitoring initiatives across Splunk Observability Cloud.

• Led the development of an agentic AI Assistant in Splunk Observability Cloud that executes evidence-backed troubleshooting workflows across metrics, logs, traces, and Kubernetes signals to accelerate root cause analysis and reduce incident resolution time.

• Delivered alert-native AI-directed troubleshooting for Kubernetes and service alerts, producing evidence-backed probable root causes, problem-domain classification, and guided next steps with ~70% accuracy.

• Architected an agentic orchestration layer (LangGraph-based) to execute deterministic, multi-step troubleshooting workflows with transparent step updates and robust fallbacks.

• Led Web/Browser + Mobile RUM enhancements to capture real-user performance, errors, and session context across web, iOS, and Android, enabling faster UX and release-regression investigations.

• Drove GA readiness and rollout for Session Replay, enabling teams to visually reproduce user journeys and correlate playback with performance telemetry; improved investigation turnaround by ~57% for user-reported issues.

• Built customer-defined tagging and indexed analytics for RUM (custom span tags & MetricSets), including cardinality-aware guardrails; enabled higher-fidelity segmentation at scale (~850 million spans per minute).

• Led cross-functional execution across backend, frontend, UX, and product; delivered private previews and hardening milestones with enterprise-grade reliability and governance.

Patents:

• Custom Indexed Tags

• Concurrent Visualization of Session Data and Session Playback

• Systems And Methods For Automated Generation Of Programming Code Through Deployment Of An Orchestration Agent

• Led delivery of a unified prospect and client experience, consolidating fragmented workflows into a single, cohesive web application, improving key funnel completion by 48%.

• Owned the GraphQL platform layer (schema + resolvers) and built supporting services and APIs using Java/Spring on AWS.

• Established automated testing practices across unit and end-to-end coverage to improve release confidence and reduce regressions.

• Drove secure integrations with external financial providers for account linking and document retrieval, including error handling and operational readiness.

• Operationalized product analytics by rolling out Heap Analytics and enabling self-serve usage insights across engineering and product teams.

• Led modernization of the frontend stack by driving adoption of Angular and defining a shared component and services strategy across multiple applications.

• Introduced GraphQL/Apollo for standardized data access and caching across microservices, improving performance and simplifying feature delivery.

• Built reusable data visualization components with D3.js to support interactive planning workflows.

• Built rapid experimentation web apps to validate new product concepts in-market, partnering closely with product and design and iterating based on feedback; cut down experiment cycle time by 90%.

• Led development of the company’s first mobile app using React Native, establishing core architecture patterns and reusable components for mobile delivery.

• Built and evolved a collaborative web-based prototyping platform used to accelerate product design and stakeholder alignment.

• Delivered complex UI features and performance improvements across a JavaScript-heavy frontend stack.

• Designed and implemented REST APIs using Java/Spring to support scalable collaboration workflows and integrations.

• Built adaptive learning and analytics features to improve study outcomes for bar exam preparation users; improved learner engagement by 83%.

• Developed dashboards and diagnostic reports to track learner performance and streamline operational workflows.

• Delivered full-stack features across ASP.NET/C#, JavaScript, and data visualizations.

• Interned with the Advanced Technology and Research department.

• Designed and developed a fully automated system to simulate high-volume network traffic scenarios.

• Built the system using SWANS++ (Extensions to Scalable Wireless Ad-hoc Network Simulator).

• Helped stress-test advanced wireless communication systems.