Alex Thompson

E-commerce Order Processing System Redesign

• Led the redesign of Amazon's order processing system serving 20+ countries and processing over 1M orders/hour
• Architected event-driven microservices using Spring Cloud and Kafka, achieving 99.99% uptime
• Implemented distributed transaction management using Saga pattern and Apache Kafka for eventual consistency
• Reduced order processing latency from 2s to 200ms through Redis caching and database optimization

Real-time Inventory Management Platform

• Designed and implemented a real-time inventory tracking system handling 100K+ SKUs
• Built streaming pipeline using Kafka Streams for real-time inventory updates across 100+ warehouses
• Implemented custom Spring Boot auto-configuration for standardized inventory tracking across services
• Reduced database load by 70% through implementation of multi-level caching strategy (Caffeine + Redis)

Search Service Optimization

• Led migration from monolithic search to distributed Elasticsearch cluster
• Implemented custom analyzers and scoring algorithms for improved search relevance
• Built real-time indexing pipeline using Kafka Connect and Elasticsearch
• Achieved 95% search accuracy and reduced latency from 500ms to 50ms

Azure Spring Cloud Service

• Core member of the team developing Azure Spring Cloud service integration
• Implemented service discovery and configuration management using Spring Cloud Netflix stack
• Built custom Spring Cloud Config Server with Azure Key Vault integration
• Developed circuit breaker implementation using Resilience4j with custom fallback strategies

Authentication Service Modernization

• Led the modernization of legacy authentication system to OAuth2/OpenID Connect
• Implemented token-based authentication using JWT with rotating keys
• Built custom Spring Security filters for fine-grained authorization
• Integrated with Azure AD B2C for social login support
• Achieved zero-downtime migration through blue-green deployment

Performance Optimization Initiative

• Identified and resolved performance bottlenecks using JFR and async-profiler
• Reduced memory usage by 40% through custom cache eviction strategies
• Implemented reactive endpoints using Spring WebFlux for high-concurrency APIs
• Set up comprehensive monitoring using Micrometer, Prometheus, and Grafana

• Focus on Distributed Systems
• Research in Cloud Computing
• Teaching Assistant for Advanced Java Programming