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shubham kumar

@shubhamkumar54

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I build reliable backend, payment, and distributed systems for high-traffic platforms.

India

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I'm leading architecture and engineering for Target India’s automated Image Decisioning System, focused on high availability, low latency, and production reliability.

At Flipkart, I architected UPI backend capabilities for peer-to-peer payments, bank transfers, and scan-and-pay. I also led PSP integrations and peak-event readiness for Big Billion Days, and built a distributed credit-scoring platform using Spark and NoSQL.

Earlier, I integrated MobiKwik PayLater with lending partners and built a Drools-based rule engine for lending decisions. I’ve also delivered REST APIs and full-stack monitoring capabilities for an intrusion detection platform at Vihaan Networks.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Flipkart

Jan 2021 - Apr 2025 (4 years 3 months)

Architected core Flipkart UPI capabilities spanning three payment modes, owning key backend flows. Led PSP integrations and load testing for peak-event readiness, and designed a distributed User Credit Scoring platform using Spark and NoSQL.

Java Kubernetes Apache Storm Kafka Redis Spark NoSQL Elasticsearch Grafana Airflow Microservices System Design

Software Development Engineer

MobiKwik

Jan 2020 - Sep 2021 (1 year 8 months)

Integrated the PayLater platform with multiple lending partners and implemented failover mechanisms. Designed and developed core backend modules and a centralized Drools-based Rule Engine to automate lending decisions.

Java 8 Spring MVC Redis Kafka MongoDB Drools REST APIs Microservices

Full Stack Engineer

Vihaan Networks

Jan 2018 - Mar 2020 (2 years 2 months)

Developed REST APIs and web capabilities for an alert monitoring and management platform supporting an Intrusion Detection System. Built full-stack features using Java/JAX-RS and web technologies.