Jun 2023 – May 2025 · 1 yr 11 mos

• Leading feature crew technical engineering efforts to build new features and enhance service health in two critical core areas powering Microsoft 365 security & compliance:
• MIP Label Fundamentals(Azure, M365) – FC lead owning end-to-end label management, from admin features and cmdlets to backend services, supporting nearly all Microsoft first-party products (Office, Windows, Teams, SharePoint, OneDrive, Loop) and third-party partners like Adobe.
• MIP Licensing Service – Architecting a high-availability licensing evaluation platform, enabling security & compliance enforcement across M365 and Microsoft security offerings.
• 🔹 Designed and scaled resilient cloud-native services handling billions of requests, improving system reliability and performance.
• 🔹 Optimized labeling APIs, enhancing throughput of p95/p99 by 50% YoY while reducing backend load.
• 🔹 Collaborated with 25+ teams across Microsoft, driving cross-org adoption of MIP frameworks.
• 🔹 Enhanced access control and data governance, aligning Microsoft’s compliance strategy with enterprise needs.

Jun 2018 – May 2023 · 4 yrs 11 mos

• Microsoft Information protection under Cloud security & AI.
• Developed expertise in various authentication techniques & modern C++. Worked across all stacks from clients to services projects of Microsoft Information protection
• Microsoft Information Protection (previously Azure Information Protection) technology helps classify, label, protect and audit unstructured and structured data, at rest in endpoints and storage systems or in-transit over the network.
• The platform is comprised of a set of high-scale micro-services running at global scale in both Office 365 and Azure clouds , a set of SDKs to enlighten apps on various platforms in multiple programming languages, administrative portals to configure, manage and deploy IP solutions, and dashboards to visualize and analyze information and threats.
• collaborated with Office, Exchange, Windows, Sharepoint, Adobe, Edge and many other first-party and third-party application teams to integrate IP platform into their applications and create a thriving app ecosystem.

Jun 2016 – Jun 2018 · 2 yrs

Jun 2012 – May 2016 · 3 yrs 11 mos

• Hired from the college campus into MACH(Microsoft academy of college hires) program.
• ● Designed event driven system for lead processing, reducing latency from 52 hours to 15 mins.
• ● Developed Azure and Office 365 customer churn prediction model, improving customer retention
• by 50% for specific sub-segments.
• ● Created customer segmentation model using clustering techniques to improve effectiveness of
• marketing campaigns.
• ● Implemented scalable data pipelines, ensuring seamless integration across global systems.
• ● Delivered optimized data ingestion workflows, improving data reliability and processing costs

Sep 2011 – Apr 2012 · 7 mos · Nagpur Area, India

• Built and evangelized a large-scale Hadoop cluster for diverse projects, enhancing data processing capabilities.
• Developed an Elasticsearch cluster to enable scalable search functionalities, improving retrieval efficiency.
• Researched and implemented hybrid genetic algorithms for complex computational problems, contributing to AI advancements.
• Published research findings in IEEE and international conferences, showcasing expertise in big data and computer vision.