• Created scalable Spring Boot microservices in Sidekick API performance effort, reducing API latency 35% while sustaining 10K+ concurrent users, enabling smoother, faster merchant-facing applications.

• Directed the Core Platform Migration program, transforming monolithic modules into event-driven Spring Boot microservices on AWS Lambda, reducing infrastructure costs by 20% in production environments.

• Integrated AI/ML NLP pipelines with TensorFlow Serving and gRPC, increasing query resolution accuracy by 40% and boosting merchant adoption of Sidekick AI features.

• Built secure payment flows with OAuth2/OIDC, JWT, RBAC, tokenization, and encryption across microservices, ensuring PCI-DSS compliance with zero audit issues.

• Designed scalable GraphQL APIs using the Netflix DGS framework and integrated Kafka event streams with outbox pattern for idempotency, cutting frontend over-fetch by 30% and improving dashboard reliability.

• Automated deployments of containerized microservices on Docker + Kubernetes (EKS) with CI/CD (GitHub Actions, Jenkins, Helm, Terraform), achieving 91% uptime during Black Friday traffic spikes and reducing infra overhead.

• Delivered responsive React + TypeScript UIs with SSR (Next.js), boosting user engagement by 25% and improving SEO rankings through structured meta-tagging.

• Adopted 12-factor app principles with observability stacks (Prometheus, Grafana, ELK) and feature flags, enabling safe canary rollouts and faster MTTR.

• Practiced Agile/Scrum delivery with TDD (JUnit, Mockito) and BDD (Cucumber), accelerating sprint velocity by 15% through pair-programming and automated testing

• Developed and launched a real-time AdTech monetization system for Meta Smart Glasses using Java 11/17, Kafka, and Spring Boot, enabling voice-activated, AI-personalized ad experiences; increased CTR by 22% and contributed $3.2M to campaign ROI.

• Built secure in-glass shopping APIs integrating Meta Pay (rebranded 2022) and Amazon checkout services, enabling seamless commerce flows that increased smart glasses–driven purchases by 19% and reduced purchase time by 35%.

• Engineered a scalable telemetry pipeline using Kafka and gRPC to stream user interactions, improving Meta AI’s ad personalization capabilities and raising ad relevance scores by 27%.

• Designed and maintained backend microservices with Java 11/17, Spring Boot, and Redis to support 2M+ concurrent users, optimizing response times for high-availability, low-latency monetization endpoints.

• Deployed containerized services with Docker and Kubernetes, leveraging GitHub Actions (post-2019 release) and Helm for CI/CD automation; achieved 99.99% uptime and zero-downtime global rollouts.

Implemented secure authentication with OAuth 2.0, JWT, and OpenID Connect for Meta Pay APIs and user sessions, ensuring compliance with GDPR and CCPA.

• Built dynamic React.js + TypeScript components for the mobile companion app, supporting AI-powered product recommendations that improved product interaction rates by 40%.

• Integrated real-time monitoring with Prometheus, Grafana, and OpenTelemetry (GA in 2021) to enhance system observability and reduce incident response time by 60%.

• Conducted ad performance analytics using Presto (Trino) and Spark SQL to segment 8M+ user behaviors, supporting weekly ad budget optimizations of $500K+.

• Collaborated with Agile/Scrum pods (AI/ML, product, security), showcasing cross-functional communication and architectural problem-solving that reduced backend API latency by 40%.

• Assisted in designing and developing RESTful APIs for seamless integration with enterprise platforms (ERP, CRM, partner systems), reducing integration effort by 25%.

• Supported creation of Spring Boot and Spring Cloud microservices, enabling modular architecture that reduced system downtime and improved platform scalability.

• Contributed to development of cloud-native solutions on AWS/Azure, ensuring secure, high-availability services that supported mission-critical enterprise applications.

• Built data transformation and synchronization pipelines using Apache Kafka and Apache Camel, improving system reliability and real-time data exchange across multiple platforms.

• Implemented data validation and governance workflows, ensuring compliance with GDPR and enterprise security policies, resulting in consistent, high-quality datasets.

• Assisted in modernization of UI components using React.js, HTML, CSS, and JavaScript, enhancing usability and reducing front-end defects by 20%.

• Supported containerization of applications using Docker and orchestration via Kubernetes, reducing manual deployments and improving release flexibility.

• Used Git for version control and Agile methodologies (Scrum, JIRA) to collaborate across distributed teams, accelerating development velocity and ensuring on-time delivery.