Designed and implemented event-driven data pipelines using Kafka and Apache Flink to provide idempotent, near-real-time data streams, significantly improving the speed and reliability of spend control enforcement. This architecture was critical for supporting new spend control features like Policies.

Authored and presented comprehensive development plans and roadmaps for decoupling core systems, outlining a clear path to achieve 100x scalability for budget and policy management. These plans included detailed milestones, engineering resource requirements, and implementation steps, demonstrating strategic technical leadership.

Led in the design and development of Budget Groups, a core feature enabling SMBs to organize and nest budgets, which improved financial oversight for customers and supported the expansion of the Spend & Expense platform.

Spearheaded the design and implementation of new Policy-driven spend controls, including features for transaction-specific receipt requirements, auto-freezing cards, and merchant category code restrictions, directly enhancing customer control and security.

Reduced the lead time between policy configuration and card swipe, directly increasing company revenue by enabling faster, controlled transactions.

Mentored and guided a cross-functional team of engineers through the entire software development lifecycle—from design and implementation to deployment and maintenance—ensuring the delivery of robust and scalable features.

Collaborated with product management and design teams to translate complex business requirements into technical solutions, driving the roadmap for the next generation of spend management features.

Architected and implemented the backend service which fully automated the ripening and fulfillment prediction process of bananas (an $2 billion category) in grocery distribution centers resulting in a reduction of millions of dollars in food waste.

Designed and implemented the version 2.0 of the backend APIs for Walmart’s global grocery fulfillment services, traveling to collaborate with and lead development teams in Bengaluru, India and Leeds, England. The service was successfully deployed in May 2019 which later went on to fulfill millions of grocery delivery and pick-up orders for those affected by lock-downs during the Covid 19 pandemic.

Significantly reduced 12 hours of daily L3 engineer support time down to 1 hour by creating cron jobs, database queries and scripts.

Chosen to lead the design and implementation of an augmented reality grocery picking Android app to optimize the grocery fulfillment process.