Jun 2024 – Present · 2 yrs · Bengaluru, Karnataka, India · Remote

• Designed and developed the ODIE (Oracle Data Center Infrastructure Equipment) platform, directly enabling the rapid build-out of new data centers to meet the growing demand for AI infrastructure. This strategic initiative replaced legacy systems, dramatically accelerating the supply chain's ability to procure and deploy AI-specific hardware.
• Implemented core Supply Chain Operations (SCO) workflows integrated with Fusion, enabling the automated processing of over $10 billion in annual orders for high-value AI compute equipment (e.g., GPUs, specialized servers), a critical capability for scaling AI operations.
• Built robust inventory management and asset tracking modules that provide real-time visibility of AI hardware across global data centers, reducing inventory discrepancies by 25% and ensuring the availability of critical components for ongoing AI cluster expansion.
• Integrated ODIE with Mercury, the SCO order processing platform, enabling seamless transfer of demand forecasts and reducing order processing time from 25 days to 2 hours.
• Automated end-to-end order-to-deployment workflows for AI-specific server racks, cutting processing time by 60% and minimizing human intervention to eliminate bottlenecks in high-volume, rapid AI infrastructure deployments.
• Implemented real-time alerting in Grafana for ODIE by integrating Prometheus metrics (order failures, API latency, inventory sync delays) with Slack & Email notifications, enabling proactive incident response and reducing MTTR by 40%.