Seattle, Washington, United States
At the forefront of AI Supercomputing, my tenure at Microsoft has been marked by spearheading a vital GPU-based virtual machine infrastructure, which significantly increased revenue and expanded our global capacity. This success is anchored in my adeptness at cross-functional team leadership, aligning program roadmaps with organizational goals, and contributing to engineering designs. Our team's achievements are a testament to our collaborative spirit and shared dedication to innovation in the AI space. My professional journey reflects a deep-seated commitment to excellence in technical program management, with a focus on delivering AI products that drive enterprise growth. The launch of a new AI product for training and inferencing has been a career highlight, demonstrating my ability to translate complex technical challenges into lucrative business solutions. It's a privilege to lead teams that are not just meeting but exceeding the benchmarks of success in the competitive technology industry.
●Launched foundation models(Claude, GPT, Gemini) and GPU capacity for enterprise customers, accelerating GenAI adoption and enabling ~$100M MoM in new revenue-generating workloads. ● Improved GPU and LLM capacity forecast accuracy by ~20% and reduced over-provisioning costs by ~15% by building SQL-driven forecasting models, telemetry pipelines, and executive dashboards. ● Increased effective GPU utilization by ~18% through telemetry analysis that uncovered idle capacity and contention hotspots, driving scheduling, configuration, and policy optimizations across clusters. ● Influenced roadmap, capacity investment, and cost optimization decisions by delivering executive-ready utilization, risk, and regional capacity insights across 100s of GPUs and multi-region deployments.
Program: AI Supercomputer/High Performance Compute (OpenAI, Bing) ● Drove revenue growth from $250M to $1.1B YoY by launching a GPU-based Generative AI Virtual Machine infrastructure on Azure Cloud for AI/LLM training model for ChatGPT, Meta AI, and Nvidia. ● Scaled Infrastructure capacity from 680k Virtual Machine (VM) to 5.6M VM in global regions, enabling large-scale LLM training and inference. ● Managed cross-functional global teams to define and execute program roadmaps, ensuring alignment with company objectives, stakeholder management, and contributing to the technical design of AI infrastructure. ● Partnered with product, hardware, and infrastructure teams to align platform capabilities with Azure’s generative AI roadmap and GTM strategy. ● Product detail: https://learn.microsoft.com/en-us/azure/virtual-machines/nd-h100-v5-series
● Led cross-functional collaboration with project managers, UX designers, and developers to build a platform that tracked customer behavior, increasing user engagement resulting in $12M revenue YoY. ● Streamlined project execution by gathering requirements and establishing processes, resulting in a 25% reduction in project delivery time across North America.. ● Developed UI rendering and backend logic using React, NodeJS, TypeScript, AWS, and NoSQL, improving visualization of customer engagement metrics by 30%.
•Owned end-to-end GTM strategy and platform rollout for a next-gen AI-based recruiting platform, delivering 120% scalability improvement and driving adoption across enterprise clients. •Increased product revenue by 28% by delivering a new service for global Enterprise customers using java, AWS cloud service, integrating external services, and migrating servers to cloud services. • Defined project vision and execution strategy, overseeing program charter, scope, and resource planning while ensuring stakeholder alignment. • Spearheaded organization-wide product delivery by prioritizing and communicating backlog across engineering and business units, leveraging Jira, Confluence, and Asana. • Building project charter, scope plan, scheduling project estimates along with resource planning and having effective communication plan with the stakeholders.
Project: Ship-to-Store (USA and Europe) • Developed a cross platform application on Amazon.com to provide installation services for products delivered at customer’s home or at a professional installation service center. • Role involved requirement gathering and working with stakeholders based in different countries, risk management, leading Scrum to launching the project using agile methodology. • This project generated a revenue of around 7.8M in 3 months with a review rating of 4.8 stars on Amazon. This is still live and generating revenue - Ship-to-Store installation service • Technologies Java, JavaScript, JSON, Html, CSS, REST, Project: Post Delivery Experience (United states, Europe, India, Australia and Japan) • Implemented a full stack project on Amazon.com for customers to select shipping address on the detail page. • Used service-oriented architecture to retrieve geocode information of service providers in the backend and integrated this with Bing map API in the frontend to display the map to the customers. • Reduced the latency impact for calling Bing map API by 20 milliseconds. • Collaborated with UX Designer, Quality Analyst and Project manager to gather requirements, scoping, mocks gathering, and integration testing for timely launch of the project. Project: Product promotion on Amazon.com (Global Launch) – Software Developer • Launched a new promotion on Amazon to allow customers to benefit more by purchasing certain products along with complimentary attached bundle products. “Get a Benefit B on Service Y when purchase you purchase Service Y along with Product X” offered by Retail category”. • Increased revenue in retail by 24M/month as customer started shopping more. • Scaled the project from 1 retail category to 24 retail categories with the capability to be scaled as desired. • Mentored a teammate to help them advance technically and professionally.