Career History

I support the development of English-language AI agents by evaluating and refining their responses for clarity, tone, and accessibility across varying levels of language proficiency. My work includes adjusting verbosity based on context and ensuring that AI communication remains inclusive, accurate, and socially responsible. I also review AI-generated answers to undergraduate-level math questions, verifying both accuracy and the relevance of the methods used.

At GoDaddy, I led two major modernization efforts: migrating the frontend from Ember.js to Next.js—rolled out seamlessly with no disruption to merchants—and separately, overhauling the DevOps pipeline using Docker and GitHub Actions to improve release reliability. I also rebuilt the pricing infrastructure to give businesses greater flexibility in how they structured fees and transactions.

At Meta, I worked on a company-wide metrics platform that standardized how teams defined and accessed performance data. On the backend, I improved the reliability of the Metric Authoring API, reducing latency and making it easier to define and query metrics. On the frontend, I scaled the internal web portal to support growing data demands across the organization. I also mentored interns on engineering best practices, helping them navigate Meta’s internal tools and development workflows.

doc.ai built a suite of AI-powered healthcare apps, and I joined the team developing their new flagship product: a medical trials app. I built a WYSIWYG editor that let pharmaceutical companies design custom journaling flows—no coding required—which trial participants could then access through the app to submit data in study-specific formats. Separately, I created a real-time map visualizing COVID-19 transmission, which significantly boosted the company’s visibility during the early pandemic.

At Knovva, I built internal dashboards powered by live data to support recruiting, customer management, and analytics across the company’s international programs. I also led a major frontend refactor, applying atomic design principles to drastically reduce code duplication and improve maintainability.

In just four hours, my team designed and built Oculus AI, a healthcare-focused tool that prioritized safe handling of sensitive data using Pensar AI. It was my first real dive into working with AI tools beyond tutorials—an intense, hands-on sprint that pushed me to apply new technologies under pressure and deliver something meaningful in record time.

GraphHack was my second hackathon and a pivotal experience in bridging my bootcamp learning with real-world application. My team built a prototype using unfamiliar tools under tight deadlines, which sharpened my adaptability and gave me the confidence to tackle new technologies head-on.

To promote better public education, my team built a video platform where youth could explore questions about human sexuality with guidance from health educators. Our project won first place and was featured in Brooklyn Magazine, Forbes, and Men’s Health. For a time, it was even considered for official integration into the curricula of select NYC high schools.