Hi, I'm John Friedman.
Some things about me:
- I was born at Rutgers, lived in Ithaca, and spent my teenage years around the Berkeley CS Department. I was lucky to have Jack Oliver, as my 5th grade buddy.
- When I was 13, I became interested in economics. I have worked for Simon, Jon, and Guo. I have also edited some of Daron's papers.
- I dropped out of Cal to work on covid relief and economic research.
- At 20, I coauthored with a future Nobel Prize Winner. My erdos number is 4.
- I recently left my PhD at UCLA to work on information processing.
- Over the past year I have prepared a rich training set for AI. This has required me to write parsers that scale, architect distributed computing pipelines, and deploy apis that serve data on a tight budget.
- You can use my endpoints here. So far I've served over 100tb of data.
- The training set is the SEC corpus. I've published a python package for working with the SEC, found how to get filings faster, and distribute more data than the SEC does.
- I currently have ~$100k in compute, mostly through AWS, Modal and Porter. I am looking for more.
- My affiliations include UCLA, Cal, Berkeley Haas, MIT Sloan, Covid-19 Policy Alliance, and ODF23.
- I frequently write articles on Medium, post on LinkedIn, and share code on GitHub.