Shah Ismail

Led a remote engineering team to improve performance metrics by 30% and reduce deployment time and increase system throughput. Implemented Canary deployments (Docker + Kubernetes) with CI/CD pipelines, reducing downtime by 50%. Designed monitoring, alerting, and logging frameworks (Prometheus, Grafana, custom Python daemons) ensuring 99.9% uptime for production systems. Integrated AI-powered vision systems for fraud detection and identity verification (Truth project) using React.js + Node.js with a Java (Spring) backend, improving detection accuracy by 35%.

Built financial payments systems using Node.js and Golang, with health checks, and Blue-Green deployments. Built live auto-trade currency exchange sub-system with optimized database and application performance (PostgreSQL, MongoDB), achieving 40% faster query response times in production. Used Message Queues, Kafka streams and Lambda functions for data pipelines for remote node orchestration.

Built financial payments systems using Node.js and Go, with health checks and Blue-Green deployments. Built a live auto-trade currency exchange subsystem with optimized database and application performance (PostgreSQL, MongoDB), achieving 40% faster query response times in production. Used message queues, Kafka streams, and Lambda functions for data pipelines and remote node orchestration.