• Designed and maintained scalable full-stack microservices using Java (Spring Boot), Node.js, Python (FastAPI) deployed

on Kubernetes and AWS, supporting high-volume payment systems processing millions of daily transactions.

• Built and optimized real-time data pipelines using Apache Kafka and Apache Flink, reducing fraud detection latency by

32% and improving transaction authorization accuracy.

• Integrated AI/ML and Gen AI-based fraud detection models, including LLM fine-tuning, improving anomaly detection by 28%

and reducing false-positive chargebacks by 35%.

• Developed customer-facing features using React, TypeScript, Graph QL, integrated with PayPal REST APIs and Braintree

SDK, increasing checkout conversion rates by 22%.

• Automated CI/CD pipelines using Jenkins, Docker, Spinnaker, and implemented feature flagging (LaunchDarkly) and

canary deployments, improving deployment frequency by 60% and reducing incidents by 45%.

• Collaborated with Product, SRE, and Architecture teams on system design reviews, chaos testing, and implemented

TDD/BDD practices, ensuring 99.99% uptime.

• Engineered high-scale backend services using Node.js, TypeScript, REST APIs, and GraphQL, supporting 1M+ concurrent

requests and reducing API latency by 22% through caching strategies and query optimization.

• Designed and implemented event-driven, multi-region distributed systems on AWS using Apache Kafka, SNS/SQS, and

Redis, enabling 2x user growth with zero performance degradation and enhanced fault tolerance.

• Built and optimized CI/CD pipelines using Docker, Kubernetes, and Terraform across AWS (EC2, ECS, RDS, S3), achieving

99.9% uptime and reducing deployment time by 28%.

• Implemented full-stack observability and monitoring using Datadog, Prometheus, and Grafana, reducing production

incidents by 25% and improving MTTR (Mean Time to Recovery) across microservices architecture.

• Applied Domain-Driven Design (DDD) using NestJS (Node.js) and Spring Boot, defining bounded contexts and improving

system modularity, which reduced development cycles by 30%.

• Led adoption of SDLC best practices using GitHub Actions, enabling automated testing, linting, and staged deployments,

while enforcing TDD, code reviews, and branch protection, reducing rollback rates by 20%.