I’m heavily impact driven. I want to solve real-world problems at scale. To me, this is part of the draw of computer science: the code I write can end up positively impacting the lives of millions of people. This dovetails with my professional interests in distributed systems, machine learning, and large-scale analytics.

I take pride in my work, and seek out hard problems that require deep thinking and continuous, applied effort. I also view software engineering as a team sport; solving truly hard problems requires surrounding yourself with people that share the same values but possess complementary strengths.

Finally, I keep a bucket list of things that I want to accomplish. It’s a way of ensuring that the big picture remains in view, even when you get caught up in the minutia of the day-to-day.

Professional Bio

Andrew Wang is a software engineer at Airtable. Previously, he was an early engineer at Scale AI, a platform for accelerating the development of AI applications, and Cloudera, where he led the HDFS team and worked on Cloudera’s machine learning platform. Andrew is an experienced open-source contributor and community leader, and has presented at prestigious academic and industry conferences like SoCC, USENIX ATC, Strata Data, HBaseCon, and ApacheCon.

Before that, Andrew was in the PhD program at UC Berkeley‘s AMP Lab, and published multiple research papers on distributed systems. He holds an MS in computer science from UC Berkeley and a BS in computer science from the University of Virginia.


See my research page for a listing of my academic projects, papers, and service.

Other activities

I keep myself distracted outside of work. Cycling has been my athletic activity of choice since arriving in California, and I like it even better when I can combine it with camping (i.e., bike touring). I rowed in high school and treasure any opportunity to take a boat out on the water. Besides that, I like reading, cooking, and playing video games.