• Led software engineering teams of four in health, media, and public sectors on designing and implementing multi-cloud solutions, ensuring security, durability, and scalability
• Optimized live election API performance, ensuring consistent sub-200ms latency while querying large dynamic datasets handling over 10-million daily global requests
• Reduced batch execution times by 90%, accelerating time to market from hours to
minutes for multiple clients utilizing diverse databases
• Redesigned US election survey weighting platform, improving model accuracy and
accelerating live election publishing to achieve accurate election forecasts
• Reimagined CI/CD pipeline to reduce build times by 44%, cost by 29%, and SCM
vulnerabilities by 52%
• Architected distributed systems using AWS Lambda, ElastiCache, RDS, MSK, ECS, Kinesis, ELB, SQS, EC2, Elastic Beanstalk, SSM, OpenSearch, and VPCs
• Reduced cloud OpEx by 19% across four clients, saving over $127,000 per year