Bengaluru, Karnataka, India
I'm a Staff Software Engineer at Google with 13 years of experience designing and building distributed systems, cloud infrastructure, and large-scale platforms that operate at hyperscale. Throughout my career at Google, Microsoft, Disney+ Hotstar, Ixigo, and Ameyo, I've led the design and delivery of mission-critical systems spanning cloud networking, Kubernetes platforms, developer infrastructure, streaming services, and enterprise software. My work has powered products serving millions of users and cloud services processing tens of billions of requests every day. I enjoy solving complex engineering problems involving distributed systems, networking, cloud architecture, scalability, reliability, and developer productivity. Some of the projects I've led include: • Architecting DNS infrastructure for Azure Sovereign Clouds serving 90B+ DNS queries per day per cloud. • Building AI-powered automation systems that reduced cloud configuration time by 20% while improving deployment accuracy. • Designing Kubernetes deployment platforms, networking infrastructure, and automation for hyperscale cloud environments. • Developing large-scale content delivery and metadata systems powering Disney+ Hotstar, including infrastructure supporting 8M+ concurrent IPL viewers. Alongside my industry experience, I'm pursuing a Master of Science in Computer Science at The University of Texas at Austin, where my graduate studies focus on Artificial Intelligence, Machine Learning, Operating Systems, Distributed Systems, and Cloud Computing. This allows me to combine deep systems expertise with modern AI techniques to build intelligent, scalable infrastructure. I enjoy mentoring engineers, writing technical design documents, and driving architectural decisions that simplify complex systems while improving reliability and developer productivity. Outside work, I write about system design, distributed systems, and software engineering, contribute to technical communities, and continuously explore new advances in AI, cloud infrastructure, and large-scale software architecture.
Building the infrastructure and platforms that power Google's internal engineering ecosystem and large-scale datacenter operations.
Architected DNS infrastructure for Sovereign Clouds, leading the design and deployment of 15+ DNS services across 3+ sovereign cloud environments, collectively serving 90B+ DNS queries per day per cloud. Delivered scalable, highly available solutions while collaborating with cross-functional SMEs to ensure compliance and accelerate deployments in restricted environments. Optimized DNS performance by identifying and eliminating bottlenecks across the DNS infrastructure, improving query latency, reliability, and overall service efficiency at hyperscale. Developed an AI-powered configuration prediction system achieving 95% prediction accuracy, reducing sovereign cloud build failures and cutting configuration time by 20% for new cloud deployments. Led the architecture of the WATM Split Manifest deployment framework, building an automated release pipeline across PPE, Production, and Sovereign Clouds, reducing deployment time by 80% and simplifying partner onboarding. Automated DNS provisioning workflows for Bleu and Delos sovereign clouds, transitioning manual build processes to FRP-based automation as part of Azure Networking's Zero Touch Buildout (ZTB) initiative and automating 15+ services. Established DNS registration standards and automation for sovereign cloud deployments by creating tooling, partner guidance, and monitoring dashboards (including ThousandEyes) to improve operational visibility and partner experience. Authored 35+ technical design documents, with over 20 receiving Partner/Principal Architect approval, establishing implementation standards, improving knowledge sharing, and accelerating project execution. Mentored junior engineers and interns, delivering DNS and Azure Sovereign Cloud training sessions, promoting engineering best practices, and strengthening cross-team operational readiness.
Developed SNAT Autoscaler for COSMIC Platform: Designed an automated solution to resolve SNAT port exhaustion in the COSMIC Kubernetes infrastructure. Mitigated disruptions for partner services during outbound communication. Implemented Orphan Resource Cleanup Solution: Built a framework to identify and delete orphan resources in COSMIC clusters and optimizing operational costs at a scale of 7 million cores. Led COSMIC App Deployment & Networking Infrastructure: Architected and implemented a scalable deployment & networking infrastructure for COSMIC applications in Kubernetes-based public and sovereign clouds, improving deployment success rates by 30%. Developed a custom dashboard for real-time failure analysis, enhancing partner service reliability, and fostered cross-team collaboration between IDC and Redmond Developed ACR Cleaner Service for COSMIC: Designed and deployed an Azure Container Registry (ACR) cleanup service to automate the removal of unused container images in COSMIC, reducing storage costs from 30%-70% and improving resource efficiency.
Engineered scalable solutions for a leading streaming platform, enhancing content delivery and user experience for millions globally. Led global content expansion, launching Hotstar in countries including Malaysia, Singapore, and Thailand, boosting accessibility and market reach. Optimized streaming infrastructure to support IPL matches, ensuring seamless performance for 8+ million concurrent users. Delivered 4 key projects, driving platform efficiency and security: - Content Classification Framework: Architected system for parental ratings and age group classification, improving content discoverability. - CQRS-based System and Pipeline: Designed and implemented solution, reducing data sync latency by 20% across multiple data stores. - Microservices Architecture: Developed suite of microservices for unified schema-based system, enhancing scalability and maintainability. - Security Automation: Automated processes to safeguard pre-launch content, strengthening platform integrity against leaks. Mastered advanced technologies, including Java, Spring Boot, and microservices, to deliver high-performance streaming solutions. Collaborated with cross-functional teams to drive agile development, ensuring robust and user-centric platform enhancements.
Engineered scalable solutions for Microsoft Azure’s developer services, empowering global developers to plan, collaborate, and ship software faster using tools like Azure Pipelines, Azure Boards, and Azure Artifacts. Architected and delivered 6 high-impact features for Visual Studio Team Services (VSTS) and Azure DevOps, enhancing developer productivity: - National Clouds Integration: Designed and implemented VSTS support for national clouds, enabling secure, region-specific deployments. - Azure Stack Integration: Architected VSTS compatibility with Azure Stack, extending hybrid cloud capabilities for enterprises. - Event-based Triggers: Developed auto-scalable deployment triggers, optimizing resource efficiency and deployment speed. - DevSecOps Scenarios: Implemented management group and policy frameworks, strengthening security and compliance in CI/CD pipelines. - A/B Experimentation Integration: Integrated external tools like Optimizely and Split.io, enhancing feature testing capabilities. - Feature Flag Service & GitHub Enterprise Cloud: Architected and delivered services for dynamic feature management and enterprise-grade GitHub integration. - Automated SQL and web deployment workflows using GitHub Actions, streamlining development processes and reducing manual overhead. Mastered enterprise-grade technologies, including C# for microservices, React for front-end development, and Azure for cloud-based solutions. Drove architectural decisions to design resilient, scalable systems, ensuring high availability for millions of developers worldwide.
Developed innovative solutions for India’s leading online and mobile travel planning platform, enhancing user experience and operational efficiency. Delivered 3 key projects to advance travel search and booking capabilities: - Hotel Booking REST APIs: Implemented multiple APIs using Java and Spring Boot, streamlining hotel reservation processes. - Bhutan Bookings Integration: Integrated Ixigo’s platform with Bhutan travel services, expanding market offerings. - City-based Hotel Search: Designed and implemented search functionality using Elasticsearch, enabling efficient city-specific hotel discovery. - Web Crawler for Offline Cabs: Engineered crawler to extract offline cab data, enriching travel planning options. Mastered enterprise-grade technologies, including Java Spring Boot, Elasticsearch/Solr, MongoDB, Git, and Maven, to build scalable applications. Optimized database strategies with MongoDB, ensuring robust performance for high-traffic travel search operations.