Luis Vargas Email & Phone Number

Kirkland, Wa, Us

San Francisco, Us

Redmond, Washington, Us

Defining and coordinating technical strategy for artificial intelligence across the company.

Redmond, Washington, Us

Defining and coordinating technical strategy for artificial intelligence across the company. This involves leading a team on:- Coordinating the cross-company initiative "AI at Scale" across 20+ teams in Microsoft building infrastructure (supercomputing clusters interconnecting AI accelerators through high-bandwidth networks), systems software (compiler+runtime+libraries to optimize distributed training and inferencing), platform (to schedule, manage, and monitor the execution of AI jobs maximizing capacity utilization), and models (language and multi-modality combining e.g. images and document structure) to empower disruptive AI capabilities across our products (e.g. Bing, Office, Teams, Dynamics, and LinkedIn) - Identifying and bootstrapping growth/differentiation opportunities between our product teams (e.g. Azure) and Microsoft Research (e.g. leveraging Automated Machine Learning and Reinforcement Learning)- Aligning engineering efforts across divisions through a shared vision (e.g. Microsoft Graph Connect Data Connect to make the data assets from Office and Dynamics available on Azure to the enable analytics/ML and app development)

Redmond, Washington, Us

* I lead a team defining, implementing, and evangelizing features in SQL Server and Microsoft Azure to offer the best cloud platform (reliability, performance, security, management, and cost) to host databases. I launched the offering and built it into a $300M/year business in 2 years ($1B+/year today)* I helped other cloud providers (e.g. Google and RackSpace) to offer SQL Server in their clouds* I led the high availability of Azure Data Warehouse and guided the team (an acquisition called "Parallel Data Warehouse") towards its launch as a cloud managed service* I led a team that introduced "hybrid" features (e.g. Secondary Replicas on Azure for HA/DR/Scale-out, Backup/Restore to/from Azure, Database Files in Azure) into SQL Server 2014* I led the high availability of SQL Server in SQL Server 2012, 2014, and 2016, starting with the introduction of AlwaysOn (enterprise solution for high availability and disaster recovery) bringing $1B+ annually. This involved writing functional/supportability specs, building a project plan, defining the release criteria, and leading the development/test team (60+ developers/testers) to the project completion* I helped customers around the world architect multi-million dollar mission-critical solutions (e.g. Expedia, Bank of America, BWin, GE Healthcare, StackOverflow)-> Consistently ranked top 10% performer in SQL Server team

* Worked on the design and implementation of GE Web Cash, an internal mission-critical system (+1000 users worldwide) for electronic funds transfers* Analyzed business requirements and translated them to technical specifications* Developed and tested functionality using Visual Studio .NET and SQL Server* Set up the company's source code control system (used by +100 developers)

Designed and implemented a web-based content management system for governmental entities in Mexico.

Phd, Computer Science (A Mix Of Distributed Systems And Database Systems)

Msc, Computer Science (Distributed Systems)

Bsc With Honors, Computer Science