Rajesh – Java, Spring Boot, Python

An enterprise data intelligence platform that consolidates data from large companies' cloud ERP, HCM and supply chain applications into a unified analytics layer. Data pipelines ingest and transform business data at scale, so customers get prebuilt analytics and can extend their data models without building their own data warehouse. The platform also includes AI features that help customers customize and localize their data and analytics.

• Led the build of an agentic RAG-based AI assistant that generates customers' data augmentation scripts from natural-language prompts, grounded in application metadata, so customers can extend their data models without writing the scripts by hand.
• Led the fine-tuning of a domain-specific language model for business-domain translation, targeting multi-million-dollar annual spend on external translation vendors and the quarter-long delay before releases reached non-English markets.
• Led the data pipeline engineering team responsible for ingesting and transforming customer data into the analytics platform.
• Identified costly business bottlenecks and scoped GenAI solutions for them together with Product and engineering leadership.
• Set engineering standards for the team, including zero-downtime schema migrations with Flyway, TDD and SonarQube quality gates.

An enterprise cloud platform for digital workflow automation that large organizations use to run IT, HR, customer service and security operations. Every application on the platform depends on a shared security layer for authentication, access control, cryptography and secrets management, which has to meet strict enterprise compliance and audit requirements.

• Managed the platform security engineering teams that owned authentication, access control, cryptography and secrets management services used by every application on the platform.
• Owned the security architecture and technical roadmap for these services, balancing new feature delivery with enterprise compliance requirements.
• Introduced LLM-based code generation into the teams' development workflow as an early adopter.
• Set engineering standards for the teams, including TDD, SonarQube quality gates and in-process end-to-end functional testing.
• Partnered with Product and engineering leadership to prioritize the security platform roadmap.

A digital advisory platform for a large insurance and financial services company, used by financial advisors and their clients across web, mobile and other digital touchpoints. It exposes enterprise-wide platform services for account management, money movement, consents, permissions, preferences and document exchange that multiple business lines reuse instead of building their own. The goal of the platform is a consistent, modern customer journey across all digital channels.

• Owned the technical direction of the advisory platform API and delivered enterprise-class services for account management, money movement, consents, permissions, preferences and document exchange, reused across the enterprise.
• Managed multiple parallel development streams and built a robust CI/CD pipeline for the platform services.
• Led architecture, design and code reviews for the platform teams.
• Partnered with Product, PMO and engineering leadership to prioritize the roadmap against organization goals and OKRs.

Global card-payment platforms that serve issuers, merchants and cardholders, including geolocation services and a servicing platform for affluent (premium) cardholders. A full-service payment management platform combines global payment processing, fraud management and payment security. A key business problem was false declines on high-value travel transactions, which cost issuers interchange revenue and put premium cardholder relationships at risk.

• Owned the Geolocation Services and Affluent Servicing platforms and defined their target-state architecture for the platform, products and developer experience.
• Led the development of a full-service payment management platform combining global payment processing, fraud management and payment security systems.
• Worked on reducing false declines for high-interchange travel transactions, protecting issuer revenue and the retention of high-value cardholders.
• Designed regional Redis clusters for distributed caching of merchant configuration.
• Grew the team to 20+ engineers together with the recruitment team, and ran the CI/CD pipeline for the Geolocation and Affluent platforms.
• Defined the short- and long-term product roadmap with Product management and the business, and drove improvements to the software development process.