Rajesh Gadiparthi

Designed and implemented distributed state-machine orchestration for onboarding and acquiring workflows, reducing onboarding failures by ~40%. Engineered highly concurrent transaction systems for acquiring payments, refunds, chargebacks, merchant accounts, and POS payments.

Contributed to the Digi bank Solution Engineering group across multiple regions, focusing on scalable architecture, solution design, and engineering excellence. Produced C4 models, sequence diagrams, and Contract-First APIs to improve solution clarity and governance.

Developed scalable clone automation and instance orchestration systems across globally distributed infrastructure. Built backend automation services for cloud operations, reliability, and operational efficiency.

Architected sub-second latency RFQ platform for hyper-personalized FX pricing backed by ML-driven pricing strategies. Reduced critical batch analytics workloads from ~16 hours to 2–3 hours using Presto and distributed columnar analytics architectures.

Built large-scale analytics and real-time processing systems using Hadoop, Storm, HBase, Hive, Apache Ignite, and distributed architectures. Developed scalable telecom analytics and enterprise SaaS platforms handling high-volume operational workloads.

Worked on enterprise middleware, mobile payment, and distributed integration platforms for telecom and enterprise customers using Java, Mule ESB, Apache Camel, SOAP/REST APIs, and Agile delivery models.

Bachelor of Engineering in Computer Science from Madras University, completed in 2003.