Headline

Software Engineer III @ Walmart Global Tech | Backend & Distributed Systems | Java, Spring Boot, Kafka, Microservices | Building at Scale

About

Backend Software Developer with 4+ years building high-scale distributed systems at Walmart Global Tech, where I've owned critical pieces of the Order Management platform serving millions of transactions. I specialize in event-driven architecture — Kafka, Apache NiFi, Spring Boot microservices — and I like solving problems where correctness and speed both matter under real concurrency. A few things I'm proud of: ▸ Built a Kafka retry framework that eliminated 10-15 erroneous high-value order cancellations every day ▸ Designed proactive monitoring pipelines that turned reactive firefighting into early detection, saving ~$3 per customer interaction in support costs ▸ Cut Kafka publishing latency by 30% through concurrent processing with CompletableFuture/ExecutorService ▸ Hardened secret management by redesigning our Vault integration for deployment-time injection Beyond my day job, I'm deep into applied AI — building RAG pipelines, automating workflows with n8n, and shipping side projects with the Claude and OpenAI APIs (including an AI recipe app and an automated email-triage system). I care about systems that are resilient, observable, and genuinely reduce toil for the people who depend on them. Always open to conversations about distributed systems, backend architecture, or applied AI — feel free to connect.

Location

Greater Bengaluru Area

Work experience

Software Engineer III at Walmart Global Tech, Jul 2021 - Feb 2026 · 4 yrs 8 mos, Bangalore Urban, • Architected a configurable Kafka consumer retry framework with dynamic feature flags in an Agile environment, resolving an OMS-FMS race condition and eliminating 10–15 erroneous high-value cancellations daily. • Designed Apache NiFi pipelines to proactively detect stuck orders and failed customer notifications, shifting incident resolution from reactive to proactive and saving an estimated $3 per customer call in support escalations. • Cut Kafka message publishing latency by 30% by parallelizing payload publication via CompletableFuture and ExecutorService, preserving data correctness under high concurrency; implemented comprehensive test coverage using JUnit. • Overhauled the platform’s secret-management workflow, replacing runtime Vault-based retrieval with deployment-time secret injection via containerized Docker environments to harden security infrastructure. • Led the Multi Line Multi Quantity initiative, unifying treatment of identical products across different SKUs in refund and exchange workflows to reduce backend complexity. • Rebuilt the order-delay notification engine to eliminate premature customer emails via runtime shipment-status validation before dispatch.

Image Processing Intern at Defense Research and Development Laboratory, May 2020 - Jul 2020 · 3 mos, Delhi, India, Worked on project “OBJECT-BASED CHANGE DETECTION IN URBAN AREAS FROM HIGH SPATIAL RESOLUTION IMAGES” in python with front end in QGIS. This model determines the changes in the areas from high spatial resolution images with the help of Simple Linear Iterative Clustering (SLIC) algorithm.

Summer Intern at Indian Institute Of Information Technology, May 2019 - Jun 2019 · 2 mos, Allahabad Area, India

Education

BTech - Bachelor of Technology, Information Technology; 9.07, Indian Institute of Information Technology Bhopal

12th Board; CISCE; 91.8%, Girls'​ High School & College, Allahabad