• I am responsible for developing a suite of highly scalable and reliable microservices that pre-encrypt Azure Confidential VMs. These VMs run on specialized AMD SEV-SNP hardware and are designed to meet the high security and confidentiality requirements of our customers. Additionally, I work closely with multiple teams to support hundreds of external and internal customers.• I built an enrollment and revocation solution of custom certificates in PK, KEK, db, and dbx UEFI variables. Additionally, I helped design the VM Attestation client and vTPM provisioning service for Azure Trusted Launch VMs. These components were critical to ensuring the security and integrity of the platform.• I built a highly scalable and reliable service that publishes security recommendations and alerts to Microsoft Defender for Cloud. This service was designed to help our customers stay informed about potential security threats and vulnerabilities and take appropriate action to protect their cloud-based applications.• I was responsible for building a code integrity (CI) solution for Linux distros. This solution was designed to periodically monitor and detect code integrity violations of kernel modules, kernel, and bootloaders. Additionally, it was designed to detect unauthorized updates to SecureBoot, PK, KEK, db, and dbx UEFI variables.• I was responsible for building a highly scalable and reliable just-in-time breakglass identity provisioning service for Office365 datacenters. This service was designed to provide secure and efficient access to critical resources in the event of an emergency or other unexpected event.• I built Polls, Forms, and Hierarchical Groups features for Microsoft Teams. Polls allowed users to quickly and easily gather feedback from their team members, while Forms enabled users to create and share surveys and quizzes. Hierarchical Groups provided a way to organize teams and sub-teams in a hierarchy, making it easier to manage large groups of people.

I Built Data Warehouse-like APIs to procure, join and sanitize data from multiple heterogeneous sources. These APIs use graph search to intelligently identify the optimal data source for requested fields. By leveraging in-memory caching, lazy loading, and distribution, I was able to achieve sub-millisecond response times.

• I optimized the design of GoBus, a FIX trading application, resulting in significant improvements in execution time, memory usage, latency, and throughput. Specifically, I was able to reduce execution time by 60%, memory usage by 50%, and latency by 50%. Additionally, I was able to increase throughput by 100%.• I developed three key features for Credit Suisse Prime Services: market trend identification, engagement anomaly detection, and sentiment analysis. These features help the company to better understand market trends, detect unusual patterns in customer engagement, and analyze customer sentiment. By leveraging these features, Credit Suisse can make more informed decisions and provide better services to its clients.• I developed an Event Sourcing service that examines and logs various events, which can then be used to analyze latencies and identify bottlenecks. Additionally, the service generates many other useful metrics such as throughput and capacity. By leveraging this service, you can gain valuable insights into the performance of your system and identify areas for improvement.

I created a dashboard that provides a comprehensive view of the system by monitoring two types of data: business level data (such as SLAs and margins) and system level data (such as memory consumption, CPU utilization, local TCP queue, swap usage, IO, etc.).