About

I’m a data scientist and founder in San Francisco where it's . I studied statistics and machine learning at UCLA and Carnegie Mellon. I’ve worked in big companies and startups. My interests span Natural Language Processing (NLP), data visualization, and new tech like blockchain and AI.

I also have a motorcycle license, a captain’s license, a driver’s license, and an unlocking license to fly my drone, not that they’re especially relevant to my work, but they probably tell you something about me.

These days, I'm focused on Sophare AI, the world's first AI-native compliance platform for pay transparency and equity software. I'm building Sophare to help companies use AI instead of spreadsheets to close the adjusted pay gap and meet global compliance requirements.

Your Position on the EU Pay Transparency Spectrum Employee rights vs employer obligations under the EU Pay Transparency Directive.
EU Pay Transparency Directive: 10 Months To Go How to prepare for the EU Pay Transparency Directive (bigger than GDPR).
Using AI to Analyze Adjusted Pay Gaps and Advance Pay Equity Adjusted pay gaps use AI to isolate inequities hidden in raw data, helping companies comply with pay transparency laws and advance pay equity
Topic Modeling with LLMs How I updated my approach and significantly improved my outcomes with LLMs
Web Scraping, cron jobs, SMS Automation How I automated a web scraper and got notified via SMS
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