Vatsal Garg

About Vatsal Garg

I am a Software Engineer II at Microsoft with 3+ years of experience building scalable, secure, and high-performance backend systems. My work spans cloud services, distributed APIs, and AI-driven automation tools, with a strong focus on backend architecture, API development, and operational observability.Responsible for building and scaling large-scale distributed backend services, modernizing legacy platforms to.NET Core/CoreWCF, containerizing the new modernized systems using Docker, and delivering secure, high-performance APIs. Work emphasizes latency reduction, reliability improvements, and enhanced observability through advanced telemetry, dashboards, and alerts. Also involved in developing AI-powered automation tools that boost team productivity and streamline operational workflows.

Experience

1. Software Engineer Ii

   Microsoft

   Jul 2025 — Present · Noida, IN

   At Microsoft, I’ve been modernizing large scale distributed backend services, driving performance, reliability, and security across distributed systems.• Consumer Provisioning: Led end-to-end modernization of legacy provisioning services by migrating to.NET Core/CoreWCF, containerizing with Docker, and deploying on Azure Kubernetes Service. Established secure, compliant pipelines with mutual TLS and secret management, and integrated AAD-based Cosmos DB authentication. Boosted reliability through optimized timeout tuning, deadlock prevention, enhanced logging, and custom telemetry dashboards, reducing COGS by 25% and improving service observability.• Cross-Cloud Guest Access: Delivered API enhancements enabling seamless cross-tenant collaboration experiences. Reduced average API latency by up to 40% through performance optimization and improved concurrency handling. Integrated Local Active Monitoring (LAM) probes for real-time cross-cloud telemetry, driving proactive detection of performance regressions. Oversaw successful public preview rollout with end-to-end load testing and observability improvements.• Extended Directory: Delivered scalable and high throughput APIs supporting mission critical identity workloads. Achieved a 20% reduction in latency via intelligent caching, optimized background processes, and refined data access patterns. Strengthened service health by resolving Tests in Production (TIP) and Functional Test (FT) issues, increasing metrics coverage, and enhancing reliability across dependencies.• AI-Driven Productivity: Developed AI-powered automation tools for On-Call and Monthly Qualitative Reports, leveraging telemetry and incident data to generate actionable insights. Automated summarization and trend analysis workflows, improving incident visibility and reducing manual reporting time by over 60%. Elevated team productivity by transforming reactive processes into proactive, insight-driven operations.

Education

• Ahlcon Public School

  High School Diploma, Computer Science

  2016 — 2018

• Netaji Subhas Institute of Technology

  Bachelor's degree, Electrical and Electronics Engineering

  2018 — 2022