Resume - Vikas Mishra

Bridge the gap between Google's global AI research and the hyper-scale demands of India's top digital-native companies; guiding enterprises in modernizing and scaling their AI infrastructure using Google's specialized AI accelerators (TPUs) and Gemini Family Models.

• Architected one of the largest GKE deployments in APAC for Search Solution, maintaining 99.99% uptime while supporting millions of concurrent users
• Engineered AI/ML infrastructure optimizations during Model Training and Tuning that delivered 30% faster model training and a 20% reduction in overall cloud costs
• Led the integration of production-grade LLMs and Graph/Vector-based RAG systems, directly resulting in a 25% increase in user engagement
• Awards: Cloud Club Award recipient (2026, 2023)

Led SRE initiatives and cloud migration for India's largest fashion e-commerce platform.

• Led a team of 20+ SRE Engineers, Leads and Managers
• Architected Platform - Infra, Data and Apps for India's biggest sale events Myntra EORS and Flipkart's Big Billion Days
• Spearheaded migration to Azure and Kubernetes, achieving 99.95% uptime and 40% reduction in deployment time
• Engineered DNS-as-a-Service benchmarked at 100M QPS for 20M+ users
• Built fully managed PaaS offerings including Kubernetes-as-a-Service, Logging-as-a-Service, and Monitoring Platforms
• Automated incident response workflows, reducing MTTR by 30%

Designed and implemented scalable data infrastructure for real-time payment processing.

• Led a 5-member Data Engineering and ML Engineering team
• Designed scalable data infrastructure enabling real-time processing of millions of transactions daily
• Architected Data-as-a-Service (DaaS) solutions improving data accessibility and time-to-insight
• Built high-throughput API layers and real-time data pipelines
• Optimized data workflows for reconciliation, settlements, and analytics

Led development of IBM Commerce on Cloud and Sterling Order Management SaaS offering.

• Led end-to-end implementation of Sterling Order Management as a SaaS offering
• Engineered scalable e-commerce backends supporting Walmart, TESCO, and Best Buy
• Delivered six improved versions of Order Management System with significant throughput and latency improvements
• Developed cloud-native systems using Java, J2EE, and IBM middleware with CI/CD pipelines