I’m currently a Machine Learning Research Engineer at Scale AI, building “models as a service” for enterprise customers interesting in GenAI applications. Recently, I was an Applied Scientist at Amazon (scientist by title, engineer at heart <3) for 3 years, where I worked on question answering for Alexa (now the ~AGI~ organization). I’m interested in agents, information retrieval, safety, evaluation – all the things. I’ve trained the occasional language model of the large variety.

Prior to joining Amazon, I got my Bachelor’s and MEng degrees in Computer Science at MIT. I was a TA for the wildly popular Intro to Machine Learning course for several semesters – I love to teach, and still tutor in some capacity, but I wish I spent more time teaching! I’ve also taught ML to high schoolers at Inspirit.

I did undergrad research in MIT’s Lab of Nuclear Science working with (or learning from, mostly) Gabriel Collin. I don’t have a background in physics, but fumbled together some code to prototype a few ML/stats experiments with physics applications. I worked with Gabriel again on my MEng thesis, in which we used Markov Chain Monte Carlo methods to characterize (simulated) distributions of point sources in the X-ray sky.

I briefly worked with Curtis Northcutt developing emotionally-intelligent AI at Chipbrain. Check out Curtis and team’s latest work at Cleanlab!