I turn state-of-the-art research in deep learning, AI, and statistical theory into efficient, reliable code. I work best in versatile, generalist roles where I can address machine learning challenges end-to-end — from the whiteboard tensor equations to the late-night code deploys.
In my four years at OkCupid, during most of which I was the sole full-time data scientist, I designed and built ML pricing and user retention models impacting millions of online dating users. During this time, the company's valuation nearly quadrupled — I know how to use data and rigorous experimentation to guide a product to success.
I have worked:
- In the actuarial sciences; studying R programming, survival analysis, stochastic calculus, GLM models, ARIMA forecasting
- For two years as a full-time, self-employed algorithmic trader
- At the job-search site you are reading now, developing statistical models of candidate quality and lifetime user value
Today, I develop ML products at Predata to aid geopolitical and economic forecasting for public-sector clients.
I'm looking for a mid- to senior-level ML Engineer role at a company with an established ML team where I can expand my skills and take on new challenges. I like an environment where ML and data can inform good intuitions and make them great.