Software Engineer at Capital One, Mc Lean, VA

Architected a real-time fraud detection platform processing high-volume transaction streams with sub-second decision latency, reducing fraud exposure by $90K through scalable risk scoring and distributed system design. Built event-driven fraud microservices in Java (Spring Boot) with idempotent processing for safe retries and duplicate event handling, improving detection accuracy by 45% and reducing false positives by 30%. Implemented gRPC service-to-service communication to reduce risk evaluation latency by 25%. Managed AWS infrastructure using EC2, EKS, IAM and Terraform for automated scaling and high availability. Designed hybrid persistence using PostgreSQL for ACID and DynamoDB for high-throughput fraud signal storage. Built asynchronous pipelines with AWS SQS to decouple services and ensure resilient, failure-safe message delivery. Developed an AI-assisted fraud reasoning system using LangChain for contextual decision support in production workflows.

Software Engineer at Capital One

Architected a real-time fraud detection platform using Java (Spring Boot) to process high-volume transaction streams with sub-second decision latency, reducing fraud exposure by $90K. Built event-driven fraud microservices with idempotent processing to safely handle retries and duplicates, improving detection accuracy by 45% while reducing false positives by 30%. Implemented gRPC service-to-service communication for low-latency internal risk evaluation, reducing scoring response time by 25%. Managed AWS infrastructure (EC2, EKS, IAM) using Terraform for Infrastructure as Code, enabling automated scaling, high availability, and fault-tolerant microservices execution. Designed hybrid persistence using PostgreSQL (ACID transactions) and DynamoDB (high-throughput fraud signal storage). Built asynchronous processing pipelines using AWS SQS for decoupled execution and reliable retries under financial workloads with failure-safe handling. Developed an AI-assisted fraud reasoning system using

Software Engineer II at Goldman Sachs, India

Engineered a distributed payments clearing and settlement system using Java microservices with gRPC communication for near real-time settlement across banking channels, emphasizing strong consistency and high availability. Built asynchronous transaction workflows using AWS SQS to support fault-tolerant settlement processing during peak trading loads with zero message loss. Designed a CQRS architecture separating write and reconciliation read models to increase throughput by ~40%. Developed REST and FastAPI services for settlement validation and reconciliation, reducing mismatch errors by 32%. Architected a multi-database financial system using PostgreSQL, MongoDB, Cassandra, DynamoDB, and Redis with caching to achieve sub-second lookup latency. Implemented centralized observability using ELK, CloudWatch, and distributed tracing to monitor latency, failures, and anomalies across services.

Software Engineer II at Goldman Sachs

Engineered distributed payments clearing and settlement services using Java microservices and gRPC for near-real-time settlement across multiple banking channels with consistency and high availability. Built asynchronous transaction workflows using AWS SQS to improve reliability and ensure fault-tolerant message delivery during peak trading loads. Designed a CQRS-based architecture separating write and read models to increase scalability and throughput (~40%) by reducing contention. Developed REST and FastAPI microservices for settlement validation and reconciliation, reducing settlement mismatch errors by 32%. Architected multi-database financial systems using PostgreSQL, MongoDB, Cassandra, DynamoDB, and Redis, optimizing caching and read/write patterns for sub-second lookup latency. Implemented centralized observability with ELK stack, CloudWatch, and distributed tracing to monitor latency, failures, and transaction anomalies across services.

Software Engineer at Accenture, Hyderabad

Built a cloud-native e-commerce platform using Java and Node.js microservices to support large-scale concurrent user traffic across catalog, cart, and checkout workflows. Led migration of legacy AngularJS frontend components to Angular (v8+), improving maintainability, reducing bundle size, and increasing performance. Implemented event-driven inventory and order workflows with AWS SQS to reduce inconsistencies by 35%. Built automated unit/integration testing using JUnit and Jasmine/Karma to reduce regressions and strengthen release stability. Designed Redis-based caching and session management with TTL policies, improving cart retrieval performance by 45% and enabling cross-device sessions. Implemented CI/CD pipelines using Jenkins and GitHub Actions with Docker and Kubernetes (EKS) for automated deployments, rollback safety, and near zero-downtime releases.