I am a NYC-based software engineer. I’m currently at Twitter as a member of
Cortex and the Machine Learning Platform Tools
team. Previously, I was a member of Observability Applications at
Uber, where I worked on forecasting and anomaly detection
for time series metrics.
I’m interested in research engineering and machine learning infrastructure
engineering positions. More broadly, I’m especially interested in
opportunities that operate at the intersection of research and
engineering. To that end, the roles that most excite me provide
opportunities to explore my interests in AI/ML; how they might be implemented
or productized both scalably and performantly; and bring those research and
modelling findings into production.
If you and your team are working on projects that I’d make a good addition
for, let’s talk.
Interests. Machine Learning; Chinese Politics; Gaming; Japanese; Chinese
ML Workflows at Twitter: Lessons Learned,
AI NEXTCon ‘19 New York.
About a year ago, Twitter Cortex built ML Workflows – an integrated solution for building, deploying, and managing workflows for machine learning at Twitter. Since then, the open-source ecosystem around workflow orchestration in machine learning has matured substantially, putting the relative strengths and weaknesses of our own platform in sharp relief. This talk focused on the challenges that we’ve faced in building this product – both past and present – as well as how we intend to address them moving forward.