Experience

Mar 2025 – Present

Sr. Support Escalation Engineer

Microsoft
  • Led cross-functional war rooms to resolve AI model inefficiencies and cloud-scale challenges, reducing MTTR by 35%.
  • Developed an AI-driven sentiment analysis model to proactively detect escalations, reducing high-severity cases by 20%.
  • Established a cloud-based anomaly detection system, improving issue identification speed by 40%.
  • Launched AI Readiness Workshops to drive AI adoption, leading to a 25% increase in AI-enabled business solutions.

Oct 2023 – Mar 2025

Sr. Technical Advisor

Microsoft
  • Optimized global support schedules to maintain 24/7 SLA compliance across time zones, reducing SLA breaches by 20%.
  • Implemented AI-powered sentiment tracking, shifting from CSAT-based to proactive issue resolution, increasing customer satisfaction by 15%.
  • Developed a Digital Transformation Blueprint, accelerating cloud migrations by 30% and optimizing cost savings.
  • Launched an AI-driven backlog reduction initiative, cutting open case volumes by 30% and improving case resolution speed.

Nov 2016 – Oct 2023

Partner Technical Advisor

Microsoft
  • Built and led a geographically dispersed team of 17 engineers and 3 Technical Leads across 2 continents.
  • Upskilled engineers in Azure DevOps and GitHub, improving CI/CD efficiency and custom debugging capabilities.
  • Developed a bug-tracking portal, enabling real-time customer updates and improving case resolution by 100%.
  • Collaborated with ISVs and SIs to optimize Dynamics CRM solutions and accelerate adoption of AI-powered customer workflows.

May 2014 – Oct 2016

Technical Consultant

Wipro
  • Served as Technical Lead for Microsoft Dynamics CRM cloud operations, focusing on system stability and optimization.
  • Developed SQL scripts for automated issue mitigation, reducing downtime by 2%.
  • Reduced escalations to Tier 2 from 4% to 0.25% by proactively identifying issue patterns.
  • Implemented a troubleshooting framework, decreasing resolution time from 7 days to 1.4 days.

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