Developing a new AI-driven security solution, Action Plan, to simplify and expedite security remediation, reducing the number of alerts by 26x.

• Leading and developing key workflows for Action Plan, including Action Plan hydration, lifecycle management, user feedback management using Apache Kafka, API RBAC enablement, and integration with the notification system.

• Developed new backend pipelines using Databricks for data aggregations and built new microservice to expose public facing paginated Action Plan APIs.

Designed and developed backend architecture for Cloud security data analytics systems, enabling customers to make informed, data-driven security decisions.

• Built RESTful microservices and APIs for the Command Center dashboard, providing a centralized, near real-time view of cloud security incidents and risks.

• Pre-aggregated alerts data using efficient data pipelines, reducing API response times from 30+ seconds to under 1 second and enabling faster security data processing.

• Developed APIs generating key security metrics, including Mean Time to Resolution (MTTR) of alerts and Alerts count by Resolution Reason, enabling actionable insights.

• Developed and optimized the ingestion of billions of security alerts using MemSQL pipelines for real-time data processing at scale.

• Developed efficient ETL pipelines with AWS Glue and Spark for accurate data aggregation and transformation.

• Orchestrated Spark jobs with Apache Airflow to automate and scale data workflows, ensuring reliable analytics.

Worked on building a Cloud platform called VMware Cloud Foundation (VCF). VCF provides integrated cloud infrastructure and cloud management services to run customer enterprise applications in private environment.

As part of the Cloud platform scaling initiative, led the re-design and development of Locking and Functionality services, resulting in a 40% improvement of memory and CPU utilization and enabling parallelism in cluster scale-out and scale-down workflows.

Technologies: Java, Spring Boot, PostgreSQL, AWS, Kubernetes, Docker, RabbitMQ

➣ Graphene Platform

Built a cloud native platform to manage a customer’s distributed SDDC from a centralized location.

• Designed and developed highly available, multi-tenant Cloud services (Compliance as a Service, Message Broker Service) on AWS that are responsible for monitoring and managing compliance of a Customer’s infrastructure.

• Led and developed an on-premise Stateless Agent that ran as a Kubernetes container to evaluate compliance rules.

• Mentored and designed an intern project that created a cloud service (Provisioning as a Service) to provision the infrastructure in distributed data centers of choice using Terraform.

• Initial POCs:

* Setup Cloud services in VMware managed Kubernetes Cluster (VDP) using Helm

* Setup Service and Customer Organizations in VMware Cloud Services Platform (CSP)

* Assessed the usage of OAuth2.0 flows supported by CSP for authorization.

➣ SDDC Pike Place: Developed a platform to deploy and configure SDDC infrastructure capabilities. Defined a Domain Specific Language (DSL) to describe these capabilities and developed a Control Plane component to instantiate the DSL. Used the platform to add "secure workload domain" capability by enabling the AppDefense product.

➣ Imaging Service: Led and developed a lightweight standalone service to image bare metal servers before adding them to the infrastructure. Also, developed a CLI and enhanced existing UI for the service.

➣ ConfigInsight: Developed a RESTful ConfigInsight service for all point-in-time SDDC configuration. Implemented API driven detection of configuration drift and built a Python CLI to invoke the drift detection APIs.