Working with companies of various sizes to improve their software stacks and processes, especially in the context of modernizing in an increasingly AI-driven world. I excel at root cause analysis and finding the connections and patterns between things and hidden points of leverage that others often miss. 🧩

I worked with the Google Checks team on code analysis tools and IDE integrations (VSCode, IntelliJ, IDX etc.) utilizing conventional AST static analysis approaches mixed with LLM-enhanced approaches using Gemini.

My team at Block built a platform used by nearly all Block engineers to deploy, manage, and observe their services. We coordinated with multiple teams at Block to build an extensible platform which could be improved or built atop by other teams.

My first team at Block, I worked on the payment gateway which would power the integration between Square and Cash App to allow users to use their Cash App wallets to at merchants using Square, both online and in-store on-device.

I worked in the Home Operations engineering group building the internal tools used by Opendoor employees and their partners to manage everything that happens between Opendoor purchasing a home and finding a new owner for that home.

I worked on a team which built training tools for Google Fiber's customer service representatives. I built and managed an alternate environment of the Google Fiber customer portal which CSRs could use for practicing customer interactions in a safe, interactive training environment.

Dispensed technical guidance and developed custom software for a range of companies and industries, particularly around the privacy and security industries. I was a main contributor to a multi-platform privacy-focused software suite.

I worked on the People Operations team at Google, where we aspired to change the way learning is done at Google, to a world where learning software doesn't just help you learn, it learns about you to help you learn better.

Worked with the LightsOn team to create software to help medical personnel work more efficiently.

Dispensed technical guidance and developing custom software for a broad range of companies and industries.

Identified as a top performer by a CS professor and invited to work study in the CS department computer lab. Assisted Computer Science students with their coursework involving data structures, algorithms, and related topics.