Headline

Principal Engineer @ Walmart Global Tech | Tech Leadership | Building systems at scale

About

What I do best: - Architect high-scale systems, handling millions of requests per minute. - Modernize legacy systems into mircoservices based cloud-agnostic, distributed architectures. - Mentor large engineering teams and drive long-term technical direction. - Improve system performance, reduce cost, and simplify operations complexities across critical systems Notable work: - NextGen microservices platform → ~3M RPM, P95 < 100ms - Auth service → 3.5 lakh RPM, P99 < 10ms - Payments → improved the success rate from 60% to 88% - Wallet → 1.26M RPM, P99 <20ms, ₹1.82 Cr annual savings - Loyalty → 2M RPM, P99 < 14ms, ₹2 Cr annual savings - Promo Platform optimization → Promo engine load time improvement from 19,896ms to 57ms, server startup improvement from 60s to 22s. - Removed multiple third-party services → ₹9–10 Cr annual savings What I bring: - 15 years of experience in backend, cloud and distributed systems. - Strong hands-on in Java, Spring Boot, AWS, Kafka, Redis, SQL/NoSQL. - Experience building high scale platforms, improving performance, and driving engineering strategy - Ability to turn complex requirements into scalable, resilient, cost - effective, production-ready systems

Location

Bengaluru

AI stack

claude code

claude

cursor

claudecode

Work experience

Principal Software Engineer at Walmart Global Tech India, May 2026 - Present · 4 mos, Bengaluru

Senior Technical Architect at Jubilant FoodWorks Ltd., Sep 2020 - May 2026 · 5 yrs 9 mos, Noida, Led the end-to-end architecture and migration of the monolithic system to the high-throughput microservices-based NextGen platform, handling ≈3 million requests per minute. Re-architected critical components: Unified Payments, Loyalty System, Wallet Service, Centralized Auth, Cart, OMS, and Delivery Management, using Java 17, Spring Boot, Kafka, Redis, MySQL, MongoDB, and workflow engine. Drove adoption of GenAI tools, enabling cross-team usage of AI-powered solutions—including in-house code review, test automation, code generation tools (Cursor, Windsurf), and an LLM-backed chatbot for rider/store operator support—resulting in a 10–15% improvement in delivery efficiency. Improved system stability (up to 90%) by implementing proactive monitoring, incident triaging, and root cause analysis using Datadog, reducing downtime and enhancing resolution speed. Collaborated with DevOps to ensure infrastructure readiness for high-traffic events (e.g., Big Days), scaling the platform to handle 180% of peak load—Domino’s highest-ever traffic peak. Revamped the CAB process, introducing structured risk assessments, rollback strategies, and cross-team visibility—reducing deployment risks and post-release incidents. Led cost optimization initiatives by refining infra sizing and resource allocation—achieved up to 70% cost savings and reduced average service startup time by 67%. Owned architecture and delivery of key modules like Store Discovery (polygon geo-lookup), Delivery Management, Unified Payments, Loyalty Program, Wallet Services, Centralized Auth, and URL Shortener Service. Contributed to PCI-DSS audits, preparing evidence, ensuring compliance, and working with DevOps, security, and engineering teams to close gaps. Led sessions on early vulnerability detection, integrating tools like OWASP and Orca into CI/CD pipelines. Mentored 150+ engineers across verticals and led a focused team of 7 engineers building and maintaining the Unified Payments Platform.

Senior Lead Engineer at airtel, Nov 2019 - Sep 2020 · 11 mos, Gurugram, Haryana, India

Computer Scientist - 2 at Adobe, Jun 2019 - Oct 2019 · 5 mos, Noida, India

Software Development Engineer - 2 at Amazon, May 2017 - May 2019 · 2 yrs 1 mo, Gurgaon, Haryana, India, - Architected and implemented the Driver License Verification Tool, a Spring MVC-based frontend tool designed to identify fraudulent delivery associates. The application scans driver's license barcodes to retrieve and verify information by integrating with Amazon’s Flex platform. The system currently handles 80 TPS and leverages AWS Memcached to cache driver data for improved performance and reduced latency. - Architected and delivered the Driver Check-In Fraud Prevention Tool, a backend service built to detect and prevent fraudulent check-ins by delivery associates aiming to claim unauthorized payments. The system uses behavioural rules and location validation mechanisms and is currently operating at 200 TPS, providing real-time fraud prevention at scale. - Architected and Built the execution of Package Problem Solve Tool, an internal tool developed to streamline the resolution of package-related issues at delivery stations—such as damaged parcels, incorrect routing, or packages left behind. The tool integrates with AWS DynamoDB for data persistence and utilizes CloudWatch for operational monitoring. Since launch, the system has scaled to handle 200 TPS, improving on-ground efficiency and reducing package-related escalations.

Education

Master of Computer Applications (MCA), Jawaharlal Nehru Vishvavidyalaya