Suraj Krishan

Architected cloud-native platforms on Azure for Siemens and BASF, achieving 99.95% uptime and reducing infrastructure costs by 40% through serverless architecture and Kubernetes orchestration Integrated AI/ML solutions (RAG, Agentic AI, predictive maintenance) improving automation by 85% and reducing downtime by 35% using Python, TensorFlow, and MLOps pipelines Implemented GitOps CI/CD with Terraform and Azure DevOps, reducing deployment time from 2 days to 2 hours while accelerating development velocity by 50% Established SRE practices with Azure Monitor, Prometheus, and Grafana, achieving 95% faster incident detection and 70% reduction in production incidents Built real-time ML pipelines processing 50,000+ data points per second, leveraging Apache Spark and feature engineering to improve model performance by 28%

Led digital transformation for AT&T and UBS, architecting microservices platforms processing 10M+ transactions daily with 99.99% availability across AWS, Azure, and GCP Developed full-stack applications using MERN and Java Spring Boot, building RESTful APIs and SPAs that improved performance by 70% and user engagement by 45% Migrated legacy applications to cloud with Terraform IaC, achieving 30% faster response times and 40% reduction in deployment time across multi-cloud environments Built portfolio management and DNS filtering platforms with real- time capabilities, serving 1,000+ concurrent users while reducing operational costs by 60%