Recently joined the Semantic Kernel team at Microsoft as a Senior Software Engineer, where I'm at the forefront of integrating Large Language Models with conventional programming languages. My role revolves around enhancing AI orchestration and SDK integration, bridging the gap between advanced AI capabilities and practical, user-centric applications. Excited to contribute to this pioneering platform, bringing innovative AI solutions to life.

I am a Senior Software Engineer with a specialization in Azure Monitor, focusing on the development and implementation of cutting-edge telemetry solutions for customers utilizing edge devices. As an integral part of the distributed systems team, my role involves leveraging my extensive technical expertise to create scalable, robust, and high-performance monitoring solutions that empower clients to efficiently manage and optimize their cloud-based infrastructure.Key responsibilities and accomplishments in my current role include:• Designing, developing, and implementing advanced telemetry solutions that enable seamless monitoring, diagnostics, and insights for customers using edge devices in their distributed systems.• Collaborating with cross-functional teams to ensure seamless integration of Azure Monitor services with other Azure components, as well as third-party platforms, to provide a unified, end-to-end monitoring experience.• Enhancing the performance and reliability of our distributed systems by using cutting-edge technologies and techniques, such as containerization, microservices, and serverless computing.• Mentoring junior engineers and leading code reviews to ensure adherence to best practices and high-quality software development standards.• Actively participating in the OpenTelemetry community by contributing to its open-source projects, and collaborating with industry experts to drive innovation in the field of distributed systems monitoring.With a strong track record of delivering innovative, high-impact solutions, I am continuously driven to enhance the Azure Monitor platform and empower our customers to harness the full potential of their edge devices and distributed systems. As a Senior Software Engineer, I am committed to staying at the forefront of technology and ensuring that Azure Monitor remains the go-to choice for organizations seeking unparalleled monitoring capabilities in the ever-evolving cloud landscape.

As a Senior Software Engineer at Azure Sphere, I played a crucial role in the development and enhancement of distributed image and publishing services for our IoT security device. My work focused on creating low-latency microservices that offered APIs for first and third parties to seamlessly upload, manage, and deploy their application images and artifacts to Sphere devices.Key responsibilities and accomplishments in this role included:• Designing and implementing efficient solutions to handle large application image uploads and publishing, ranging from 1MB to tens of GB, with a focus on reducing network load and optimizing chunk-based processing during asynchronous operations.• Collaborating closely with the Security team to establish robust processes for securely signing first and third-party application images during the upload stage, ensuring the highest level of security and compliance for our clients.• Successfully migrating our image and asynchronous microservices to utilize gRPC, resulting in improved performance, scalability, and maintainability of the overall Azure Sphere platform.• Continuously refining our microservices architecture to enhance reliability, performance, and flexibility, ultimately providing a seamless experience for customers managing their application images and artifacts on Sphere devices.In this role, I was dedicated to developing innovative and secure IoT solutions for our customers, ensuring that Azure Sphere remained a market leader in the rapidly evolving IoT security landscape. My contributions enabled organizations to confidently deploy and manage their applications on Sphere devices, knowing that their security and performance needs were always our top priority.

Software engineer working on distributed image and publishing services for the Azure Sphere IoT security device. These low-latency microservices provide APIs for first and third parties to upload and manage their application images and artifacts that ultimately get deployed to Sphere devices.I designed and implemented code to handle large application image uploads and publishing. These images can range from 1MB up to hundreds of MB or tens of GB. An emphasis was placed on how to reduce the network load and handle these large images in chunks during async processing. I also worked with our Security team on how these application images (first and third party) get signed during the upload process. I later migrated our image and async microservices to use gRPC.

Software engineer in Azure Sphere working on security and update services. Sphere security services run and manage a custom certificate authority. These certificates are used by the device so we know that devices calling into services are authentic and trusted. Once authenticated, they are allowed to receive application updates, if available. Managed Certificate Revocation Lists (CRLs) and PKI related items to ensure maximum security is upheld for Azure Sphere devices.

I currently work on virtual machine (first and third party) internal publishing APIs. Other publishing offer types include SaaS, Containers, Azure Applications, Consulting Services, and more. These offers ultimately land on AppSource, Azure Marketplace, and the Azure portal where they reach millions of customers and users. Our goal is to provide a fast publishing pipeline to allow partners to showcase their offers to a worldwide audience.

Software engineer in the Azure Marketplace group. I worked on back-end cloud services. We enable customers and partners to take advantage of Azure technology, allowing them to showcase their offers to a worldwide audience. I was responsible for maintaining and improving the publishing services that customers use to sell their products on Azure.I managed, designed and drove implementation of a client-side API that integrated with Azure Compute to use their new and improved first-party VM deployment APIs.

Software development engineer in the Microsoft Healthcare NExT organization (part of the Artificial Intelligence and Research division), specifically in the Patient Engagement - Health Analytics and Learning group. • Focused on big data software solutions to allow machine learning scientists and researchers a compliant way to build models based on health data.• Contributed to back-end and cloud services features.• Technology stack included: C#, Azure, CosmosDB, Docker Images, Kubernetes, RESTful APIs, and SQL.

Surface Inspection Team• Supported design and implementation of surface inspection projects and flat panel display testing.• Focused on software development and integration in C# / VB.NET using Serial and TCP/IP Communication.• Contributed to existing key account projects and mentoring of Radiant team to improve coverage on projects.• Developed algorithms to characterize mura and display defect detection.

Applications Development Team• Design hardware interfaces in .NET with serial or TCP/IP communication to interface with production line fixtures.• Perform image analysis of flat panel displays to characterize non-uniformities, mura, and defects.• Engineered a new correction coefficient storage method from scratch in VisionCAL, a software package that allows pixel-by-pixel brightness and color correction of LED signs or flat panel displays.

Applications Development Team• Based in Radiant’s South Korea branch; supported customers in South Korea, Japan, Taiwan, and China.• Contributed to sales 120% above target in Asia in 2014.• Wrote custom analyses in .NET to quantify defects, blemishes, or light leakage on flat panel displays.• Performed hardware integrations to allow customers’ products to automatically interface and communicate with Radiant’s software.

• Supported Radiant’s global customer base, including pre-sales visits, post-sale visits, and application engineering.• Trained customers on the uses of imaging colorimeters to accurately measure light and color, and how to perform pixel-by-pixel LED sign correction.