Meet the ScopeDocs team

We are a founding team building documentation that stays current, earns trust, and ends stale wikis. ScopeDocs turns work from Slack, tickets, docs, calls, and code into a source-linked knowledge base people and agents can use.

Vivian Nguyen Lin

Founder & CEO

Vivian Nguyen Lin is the founder and CEO of ScopeDocs, an AI platform helping engineering teams automatically generate and maintain technical documentation.

Before founding ScopeDocs, she spent over seven years at companies including ThredUp and Udemy, where she progressed from operations to leading financial data engineering.

As a UC Berkeley graduate, Vivian is passionate about building products that help people work better and is driven by a lifelong commitment to education, mentorship, and community.

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Thao Ha

Founding Product Engineer

Thao Ha is a Founding Product Engineer at ScopeDocs.ai, where she builds AI products that help engineering teams capture and preserve knowledge as they work.

She started her first café at 16, blending Russian and Vietnamese coffee culture into a space designed for people to connect, an experience that first taught her what it means to build something people genuinely value.

Since then, she earned a degree in Engineering Design from NYU, a Master's in Technology Management from Columbia University as a Merit Fellow, won the Twilio Hackathon at Harvard, and explored entrepreneurship as a Founder in Residence at Antler. She believes the best products are shaped not just by technology, but by listening deeply, staying curious, and solving problems that matter.

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Radha Parikh

Founding Engineer

Radha Parikh is a Founding Engineer at ScopeDocs.ai, where she builds developer tools and scalable machine learning systems that help engineering teams keep documentation close to how their products actually work.

She earned her Master's in Information Systems Management from Carnegie Mellon University, then joined Fractal to develop data engineering and machine learning solutions for enterprise customers, learning what it takes to ship reliable AI in production.

Radha pairs deep technical expertise with a strong product mindset, and is most motivated by systems that solve problems teams feel in their everyday work.

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