Enterprise technology leader with 20+ years building the AI-driven operations, automated infrastructure, and cloud-native data platforms that insurance, wealth management, and financial services businesses run on.
My career has been built on four cornerstones: AI-driven operations, infrastructure automation, cloud-native data pipelines, and the cloud database platforms that run on top of them. I run strategy, budget, and 24x7 operations for a 60-person organization at Lincoln Financial Group, where I've modernized a petabyte-scale data estate onto AWS, cut annual run cost by $1.2M, and used AIOps-driven observability to cut mean time to recovery by 73%.
That estate spans everything from legacy Oracle Exadata appliances to modern AWS-native and open-source data platforms. My job has never really been about the individual systems. It's the automation, governance, and AI-augmented operating model that lets a lean team run all of it reliably at enterprise scale. I build the data pipelines and platforms that analytics and AI teams depend on, and I partner with business and security executives to fund and sequence multi-year transformation. I'm deepening that strategic lens now through Wharton's executive CTO program.
Built an AIOps practice that applies anomaly detection to unified telemetry and triggers event-driven runbook automation, cutting incident MTTR from 4.5 hours to 1.2 hours.
Replaced manual provisioning with self-service, compliance-approved environments delivered in under 24 hours, down from 7 days.
Set and delivered the roadmap that moved 60% of transactional workloads onto AWS in 18 months, with validated cutovers and zero business-impact rollbacks.
Own the data foundation under a petabyte-scale, 800+ database estate, with enterprise governance covering encryption, access, and audit evidence.
Own strategy, P&L, and 24x7 operations for a 60-person organization with 14 direct reports, running an 800+ database, 1.5+ PB estate across on-premises and AWS. This is the data foundation under Lincoln's annuities, life, and retirement businesses. Set the multi-year roadmap and its funding case, own vendor governance and risk posture, and deliver through automation, cloud modernization, and AI-driven operations.
Shipped multi-tier application stacks, data models, and legacy-to-target migrations.
Expected March 2027. Applying strategy, AI, and platform-scaling frameworks directly to real infrastructure and data programs.
B.S., Computer Science and Engineering, Madras University, Chennai, India. 1999–2003