Cloud Solutions Architect

As a Cloud Solutions Architect at Amazon, I designed and implemented scalable cloud solutions for enterprise clients, with a focus on serverless architectures and AI-powered systems. My work involved optimizing machine learning pipelines and creating cost-effective, high-performance solutions that could scale to serve millions of users.

• •Designing systems to handle massive scale (10M+ users) with consistent performance
• •Optimizing costs while maintaining high availability and performance standards
• •Integrating complex AI/ML workflows into existing enterprise systems
• •Ensuring security and compliance across multi-tenant architectures
• •Managing data pipelines processing terabytes of information daily

• •Architected serverless-first solutions using AWS Lambda and API Gateway for automatic scaling
• •Implemented SageMaker-based ML pipelines for real-time inference at scale
• •Created event-driven architectures using DynamoDB Streams and EventBridge
• •Built Infrastructure as Code templates using CloudFormation for repeatable deployments
• •Designed cost optimization strategies through intelligent resource provisioning

• •Successfully scaled systems to handle 10M+ daily active users with 99.99% uptime
• •Reduced infrastructure costs by 40% through serverless architecture optimization
• •Improved ML model inference time from seconds to milliseconds
• •Enabled enterprise clients to process and analyze 10TB+ of data daily
• •Achieved 50% faster time-to-market for new feature deployments

• •Serverless architectures provide excellent scalability but require careful cost monitoring
• •Event-driven design patterns are crucial for building resilient, decoupled systems
• •ML pipeline optimization requires understanding both the algorithms and infrastructure
• •Cost optimization is as important as performance optimization in cloud architectures