Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

• Engineered highly scalable distributed systems and microservices with strong reliability, fault tolerance, and high availability.
• Implemented CQRS (Command Query Responsibility Segregation) with read/write separation and event-driven propagation (e.g., Kafka) to achieve eventual consistency, scale reads via materialized views/read replicas, and isolate write contention; enforced Outbox pattern, idempotent consumers, DLQs, and Saga orchestration for resilient workflows.
• Delivered client-facing features in Accounts & Payments: online payment integration, transaction history tracking, eligibility validation, and automated loan creation.
• Prototyped & presented POCs to de-risk solutions and accelerate product decisions.
• Boosted system performance by 46% by optimizing write-heavy paths and automating critical flows, which reduced failure rates in high-throughput operations.
• Raised test coverage to 90%+ across unit and integration layers, improving code quality and maintainability.
• Doubled customer satisfaction (100% improvement) by launching Agentic AI experiences using LangChain, enabling intelligent, adaptive user interactions.
• Built UK tax-saving features, delivering personalized tax-benefit recommendations and improving customer financial outcomes.

Jan 2024 – Sep 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India

• Designed and implemented complex Core Banking and Fintech workflows (transactions, suspense accounts, account closures) in collaboration with the Accounts and Journey team, following Domain-Driven Design (DDD).
• Applied OOP, SOLID principles, and design patterns to build scalable, fault-tolerant and high performance applications, deploying on Kubernetes via CI/CD pipelines.
• Optimized business logic using data structures and algorithms, scalling to average 200K+ requests/day while reducing network overhead and operational costs.
• Architected microservices in Java 17 using lambda expressions, collections, and streams, delivering features such as loan repayment, fund transfers, and file generation, achieving 90% stakeholder satisfaction.
• Enhanced high-traffic REST endpoints using distributed design patterns, Kafka messaging, and database indexing; achieved 88% unit test coverage while improving exception handling and domain decoupling.
• Delivered savings and loan account lifecycle journeys (solo, joint, additional) with eligibility checks, audit logging, and tax-saving product logic using Java, Spring Boot, MySQL, and CompletableFutures.
• Built an AI-powered HR portal in Python using Agentic AI and Pinecone DB, cutting manual HR effort by 30%.
• Created AI agents with LangChain and (RAG) for autonomous decision-making and task execution.

Jul 2022 – Jan 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Engineered scalable dashboards and official web pages using React.js, applying concepts such as React
• Router, Virtual DOM, React Components, useEffect, and Higher-Order Components to deliver optimized page performance.
• Built a fraud detection module using Java 17 and object-oriented programming, leveraging data structures and algorithms to validate card numbers without database queries, improving performance and reliability.
• Designed and developed RESTful microservices following SOLID principles and design patterns, integrating with fintech platforms using Spring Boot and Spring Data JPA.
• Collaborated with the Cards and Payments team to implement schedulers, circuit breakers, rate limiters,
• and optimized database queries, enhancing system resilience and scalability to handle an average of 500K+ requests/day.
• Improved test coverage using JUnit and deployed microservices to Azure Kubernetes Service (AKS), achieving 85% stakeholder satisfaction and enabling faster defect detection and resolution.