Jul 2023 – Present · 2 yrs 11 mos

• Led multi-team engineering organizations (up to 20 engineers, SWE III–Principal) delivering mission-critical platforms for Walmart’s Pharmacy ecosystem supporting 4,700+ locations, 20M+ annual customers, and $40B+ in revenue.
• Owned end-to-end delivery of Rx Pickup & Delivery across 6 teams and 65+ engineers, PMs, and Scrum Masters, integrating pharmacy workflows with Walmart Pickup & Delivery using Java, Spring Boot, PostgreSQL, and Azure. Program projected to unlock 9M+ new customers (+42%) and $8B in incremental revenue.
• Drove cross-team initiative to remove minimum basket fees for prescription purchases, improving Walmart+ accessibility and accelerating subscription growth, contributing up to $4B in projected multi-year customer lifetime value.
• Led ImportRx platform across 3 teams, automating real-time prescription mismatch resolution using Java, Spring Boot, Kafka, NoSQL, and Azure SQL, generating $200K in weekly incremental revenue.
• Delivered automation of computer-vision-based Visual Verification workflows, reducing prescription verification time by 50% and improving operational throughput.
• Led re-architecture of distributed microservices for a 12-engineer team, achieving a 66% reduction in latency and 50% fewer production incidents through improved scalability and system design.
• Set technical direction for GraphQL adoption and defined roadmap for Golang and gRPC-based service-to-service communication across 25+ microservices.
• Built and scaled high-performing teams through hiring, mentoring, performance management, and Agile execution, achieving 100% retention while improving delivery predictability and SDLC efficiency.

Dec 2020 – Jun 2023 · 2 yrs 6 mos

• Architected and led a 14-engineer development team to build a highly scalable orchestration platform using Java, Spring Boot, GraphQL, and PostgreSQL, consolidating 10+ external data sources and enabling the Order Management System (OMS) to process 200,000+ records per request.
• Led a cross-region team of 12 engineers to modernize OMS applications by leveraging Java 11 and Spring Reactive Framework. Refactored four legacy monolithic applications into ten reactive microservices, eliminating performance bottlenecks, reducing technical debt, and significantly improving system scalability and responsiveness.
• Served as Tech Lead for OMS, a core platform responsible for creating and managing purchase orders used for inbound inventory across suppliers, distribution centers, fulfillment centers, and direct-to-store channels. OMS also maintains supplier purchase agreements and Stock Transfer Orders (STOs) across Walmart and Sam’s Club networks.
• Architected and led development of ITEM-SERVICES as part of a broader Supply Chain modernization initiative. Built a reactive, GraphQL-based experience API that efficiently aggregates data from multiple external services, providing abstraction and improved performance for OMS consumers. This architecture was among the first of its kind within Walmart’s Supply Chain organization.
• Acted as a key member of the Developer Advocate community, training and mentoring 40+ engineering teams across Supply Chain on Spring Reactive programming, driving adoption of modern, non-blocking architectures and best practices.

Jan 2019 – Dec 2020 · 1 yr 11 mos

• Architecting and Developing Computer Vision based Auto Gate In solution for Truck drivers at DC stores, estimated to reduce the gate in process by 35 mins/trailer. Spring boot RESTful, microservices, IOT
• Architecting and developing Lithium-Ion Label Detector app for Distribution Centers, the app uses Azure's Custom Vision model. It's based on microservices architecture using Python(Open CV) modules to run the Deep Learning model connected with Springboot based web service app which handles communication between different input and output streams using events and docker.
• Reengineering the Online Grocery Picking app to follow microservices architecture, scalable, efficient, and is future proof. Java 8, Spring and Springboot, Cassandra, CRDBMS, Microsoft Azure Cloud, Kafka, Docker.
• Developed and fixed 50+ features and JIRA defects ranging from DB to Java Spring for existing Online Grocery Picking App which increased personal shoppers pick rate by 12% and reduced order cancellation by 17% The app is now able to handle 5+ Million picks/day and is available in 2100 Walmart and Sam’s stores worldwide. Java, Spring, Informix, MQs.
• Provided app support during Pager rotation and resolved application issues promptly Splunk, Dynatrace, Python, Java scripts.
• Research & Development
• Develop and Evaluate, proof-of-concept, proof-of-technology, pilot tools and solutions for common technology platform across multiple products
• Strategize, plan, design, build, test and ship technical solutions for enterprise order fulfillment system, online grocery system, supply chain, and distribution center systems.
• Influence and collaborate across domains and teams to come up with the best technology solution for customers
• Strategize, Evaluate and Benchmark various tools and solutions from different vendors.
• Technologies used: Java Spring, Rest APIs, Kafka, Azure, Python, CNN, OpenCV.

Jun 2018 – Jan 2019 · 7 mos

• Reengineering the Online Grocery Picking app to follow microservices architecture, scalable, efficient, and is future proof. Java 8, Spring and Spring boot, Cassandra, CRDBMS, Microsoft Azure Cloud, Kafka, Docker.
• Developed and fixed 50+ features and JIRA defects ranging from DB to Java Spring for existing Online Grocery Picking App which increased personal shoppers pick rate by 12% and reduced order cancellation by 17% The app is now able to handle 5+ Million picks/day and is available in 2100 Walmart and Sam’s stores worldwide. Java, Spring, Informix, MQs.
• Provided app support during Pager rotation and resolved application issues promptly Splunk, Dynatrace, Python, Java scripts.
• Working on optimizing the algorithm for the selection of feature products, feature products are items which go on sale during promotional events and events like Black Friday and on Recommendation Algorithm to help buyers to choose a product from different options based on their needs. Apache Spark, Python, Hadoop ecosystem, Scala

Oct 2017 – Jun 2018 · 8 mos

• Working on optimizing the algorithm for the selection of feature products, feature products are items which go on sale during promotional events and events like Black Friday and on Recommendation Algorithm to help buyers to choose a product from different options based on their needs. Apache Spark, Python, Hadoop ecosystem, Scala
• Working on the App which enables a personal shopper to efficiently and accurately select and fulfill a customer's Order when orders are placed online. Java Spring, Cassandra, SQL, GO, Echo