Engineered scalable Java backend payment gateway architectures (Shop Pay and third-party providers) supporting $18B+ annual transaction volume with full PCI-DSS compliance and zero downtime.

Delivered high-impact AdTech and AI personalization microservices, increasing ad-driven GMV by 22% and boosting customer conversion via real-time recommendations and streaming analytics.

Designed and implemented type-safe, self-documenting GraphQL APIs with Spring Boot and GraphQL Java, covering commerce, media pipelines, payments, and personalization domains.

Built event-driven services powered by Apache Kafka to enable seamless large-scale data streaming for media processing, payment events, and AI recommendation engines.

Developed secure authentication and authorization mechanisms using OAuth2, JWT, and API Gateway hardening to protect sensitive data and enforce fine-grained access controls.

Automated end-to-end CI/CD pipelines using Docker, Kubernetes (GKE), Helm, and GitHub Actions, driving rapid, reliable microservice deployments with zero downtime.

Designed and maintained cloud-native infrastructure on AWS, utilizing EC2, S3, Lambda, and RDS for scalable, secure, and cost-effective backend and media pipeline deployments.

Developed real-time dashboards in React.js using GraphQL subscriptions over WebSockets, delivering live KPIs and AI insights with fast, intuitive data visualization for merchants.

Built responsive, accessible UIs with React, TypeScript, HTML5, CSS3, and Apollo Client, ensuring efficient GraphQL data fetching and seamless user experiences across admin and storefront apps.

Engineered AdTech integration features that increased targeted ad revenue by 15% through advanced user segmentation and real-time bidding enhancements, directly supporting $23 billion annual revenue.

Collaborated across cross-functional teams to implement real-time personalization pipelines, boosting user engagement metrics by 22% through intelligent feed ranking and live recommendation updates.

Designed and deployed Spring Boot 3.0 Java microservices, leveraging modular API-first development, containerized with Docker and managed via Kubernetes on AWS for rapid scaling and zero-downtime releases.

Built and optimized distributed event-driven architectures using Apache Kafka, Redis, and gRPC, supporting real-time feed generation, live metrics, and scalable service orchestration.

Integrated AI/ML pipelines (TensorFlow/PyTorch served via Java APIs) for instant content moderation and

Enhanced system observability and reliability with advanced monitoring (Prometheus, Grafana), distributed tracing, and CI/CD automation (GitHub Actions, Jenkins), dramatically reducing incident response time.

Developed responsive creator dashboards and web UIs using React.js, TypeScript, HTML5, and CSS3, integrating REST/gRPC APIs for dynamic media management, real-time analytics, and interactive campaign functionality.

Supported backend integration of AI-driven threat analytics leveraging IBM Watson APIs, helping automate compliance monitoring and predictive risk scoring to enhance enterprise security and reduce manual oversight.

Developed scalable, secure RESTful APIs and event-driven pipelines using Hibernate (JPA), integrated with IBM Db2, PostgreSQL, and MongoDB databases, aiding adaptive media streaming and content management within a microservices cloud environment orchestrated by Docker, Kubernetes, and CI/CD tools like Jenkins and Tekton.

Collaborated on building and maintaining responsive admin portals using React.js, TypeScript, HTML5, CSS3, and JavaScript, incorporating real-time WebSocket updates to seamlessly connect frontend interfaces with microservicebased Java backends, delivering intuitive administrative dashboards and endpoint analytics.

Analyzed and contributed to the implementation of modern DevOps practices, supporting cloud-native deployments on IBM Cloud and AWS to help maintain zero-downtime releases and high availability for critical Unified Endpoint Management and security services.