Leading the Cloud Platform Evaluations Team, a competitive engineering team of 6. We run evaluations of different developer stacks on Google Cloud and other platforms. We deliver friction logs, reports, bugs, and feature requests that drive Google Cloud's product, go-to-market, and DevRel strategy.We have worked across 7 programming languages and over a dozen developer stacks in the last two years, including generative AI (RAG, chatbots), web apps, legacy stacks (eg. LAMP), and platform engineering with Kubernetes. The expertise we build during the internal evaluations often leads to external engagements, blog posts, and sample applications. (Linked below)

Developer Relations lead for Google Kubernetes Engine (GKE) and Istio (service mesh tool). Goal was to ease onboarding for Kubernetes developers with friendly sample code and content. I worked with Google's product, solutions, sales, and tech writing teams to develop a content strategy that included large sample applications, tutorials, talks, and videos. I led a team of 7 engineers to execute on this plan.

Worked in Cisco's Center for Excellence (CoE) to prototype cloud, edge, and data center tools for large Service Provider customers.

Interned on the Google Workspace Product Adoption team. Built a data processing pipeline in Python to improve lead generation and customer funnel analysis.

Worked with a Major League Baseball team to provide recommendations on a new, data-driven ticket pricing strategy. Used: R language, data visualization, bayesian belief networks. Wrote a web scraper to compile historical on-field stats.

I worked with Professors Takis Metaxas, Orit Shaer and Stella Kakavouli, along with fellow teaching assistants, to hold drop-in hours, assist in lab sessions, discuss student projects, and grade assignments.

Project: "Trails of Trust in Real-Time Streams," advised by Professors Takis Metaxas and Eni Mustafaraj