Aman Khatri

Architected and delivered a strategic intelligence platform serving 50K+ monthly active users, empowering executive and product teams with critical strategic decisions through comprehensive product adoption analytics and engagement insights.

Led an 8-member cross-functional engineering team through the full product lifecycle, implementing Agile methodologies that reduced feature delivery time by 40% while maintaining 99.9% platform uptime.

Developed an agentic AI analytics platform leveraging multi-agent architecture with LLMs and RAG, reducing data exploration time by 60% for business users by enabling natural language querying and automated data analysis.

Pioneered an AI-driven revenue optimization platform utilizing cutting-edge LLMs and NLP to auto-generate support case summaries and analyze customer engagement patterns, identifying upselling/cross-selling opportunities that increased revenue potential by 30%.

Established robust engineering excellence practices, including automated code review workflows and testing strategies (achieving 95%+ code coverage), which improved team productivity by 25%.

Defined product vision and go-to-market strategy for Microsoft Security's enterprise data platform, serving over 10K security professionals.

Designed and developed an AI-powered organizational assistant using NLP, knowledge graphs, and advanced analytics, improving data discovery by 40% and empowering better decision-making.

Led cross-functional product development, orchestrating collaboration among 15+ data scientists, ML engineers, UX designers, and security stakeholders across 3 time zones, delivering 12 major product releases that improved customer NPS scores by 50%.

Scaled product operations and reduced manual overhead by 75% through intelligent automation and self-service capabilities, enabling the security platform to handle 10x data volume growth while maintaining sub-second query response times.

Owned product strategy for Azure's enterprise data platform, serving 15K+ developers and driving over $8M in new consumption revenue through strategic feature prioritization and multi-release roadmap execution.

Built an automated ML pipeline analyzing 100K+ daily customer interactions across key platforms, reducing feature planning cycles from months to weeks and improving customer satisfaction by 25%.

Architected an AI-powered BI suite for Azure Security Support using forecasting and anomaly detection on petabyte-scale data, proactively identifying 50% of issues before customer escalations.

Transformed support operations through intelligent automation, reducing ticket volume by 25% and improving resolution rates by 45%, delivering $2M+ in annual cost savings.

Architected an enterprise BI platform serving Microsoft's finance and sales teams with real-time cost/revenue analytics, enabling C-level executives to make strategic decisions that improved budget allocation accuracy by 40%.

Led a big data platform migration from legacy systems to Azure Data platform and Databricks, processing 20TB+ of enterprise data with 70% latency reduction and 99.9% availability for mission-critical financial operations.

Built a secure data warehousing solution for Microsoft Treasury, handling sensitive financial data including quarterly revenues and AP/AR systems, directly supporting CFO reporting with automated compliance and audit.

Delivered production excellence through proactive issue resolution and root cause analysis, resolving 100+ critical incidents with zero data loss while saving over $20K in operational costs through system optimization.

Led enterprise BI platform delivery with 10+ cross-functional team members, implementing agile practices that reduced release defects by 20% and achieved 99.9% system reliability.