About Me

I'm a software engineer and developer advocate. I started my career in market research and marketing and have used those skills to build user-focused products and experiences.

I particularly focused on voice-powered applications, interactive chatbots, and am currently developing agents with AI. I have a passion for prompt engineering and have taught workshops at a variety of conferences to help small business owners and computer science students learn to incorporate AI into their marketing and everyday lives.

I am currently fascinated with AI/ML and am passionate about teaching everyday users and developers about the latest updates. As we find new creative ways to incorporate AI into our lives and organizations, we also need to develop policy and tutorials that are accessible to everyone.

Whether that's encouraging teachers to ask students to show and tell their work by submitting their AI prompts as part of routine assignments or coaching IT directors on labeling documents for confidentiality or establishing etiquette for the use of AI-based recording software in meetings, I'd be happy to share and connect my findings.

My Background

I was a Human Biology major at Stanford (class of '15) where I focused on answering the singular question that endlessly fascinates me: How do we think, and why?

In market research, I worked on both quantitative and qualitative research surveys during my time at JBS International and 23andMe. I specialized in survey methodology and outreach programs, as well as research evaluation for grant programs.

The focus of survey methodology is to develop surveys that people will understand and answer appropriately by framing and formatting questions in a way that enhances user understanding. Despite any researcher's best efforts, survey bias is still inevitable. I did my utmost best by diving headfirst into developing surveys that were fun and intuitive. My particular favorite was in using emoji-based likert scales 👍 👎.

I then worked in fintech at Carta as a growth marketer conducting AB tests for the purchasing experience and integrating our marketing tech stack to support attribution. My favorite project was in testing a free self-serve trial experience.

I then transitioned to be a software engineer at Microsoft where I worked on the Global Experiences and SMB Engineering team to make the purchasing experience user-friendly and accessible. I supported Microsoft Partners in developing proof of concept applications to document and address business needs that their users were facing as a result of biweekly meetings to build closer relationships with their teams.

Speaking & Teaching

I've spoken at a variety of conferences and organizations including:

• Girl Geek X Girl Geek X
• Women Who Code
• Tech Intersections 2023
• Tech Intersections 2025
• in partnership with Northeastern
• with the Oakland AI Working Group
• the Microsoft Discovery Program (2023)

I enjoy facilitating workshops and am currently giving a series on AI agents.