At Flexport, Rahul led a team of analysts, project managers, and operators on forecasting, pricing and inventory optimization programs.

He has felt the pain of the problem Arcwise is solving for 10+ years, and is really passionate to build a platform that helps solve it.

At Meta, Hanson was the tech lead for the Looper machine learning platform used at Meta by nearly 100 teams across the company.

He's seen the tremendous impact that democratizing ML and data-driven decisions can have first-hand, and is super excited about continuing that mission through Arcwise.

James has a passion for simple solutions to complex problems, both in industry and as a former professor. He is currently a Principal Data Scientist at Gopuff and was one of the first data scientists at Flexport where he solved pricing, logistics, and allocation problems. Prior to that he worked at Uber on surge pricing.

He has distilled cutting edge techniques into practical algorithms and is excited to bring this to a wider audience with Arcwise.

Before joining Arcwise, Santiago was the tech lead for the data platform team at Allbirds. In that role, he collaborated with many different kinds of data users and developed a passion for how data is used at organizations, how the barrier-to-entry to its usage can be lowered, and how its impact can be maximized.

He's excited to channel that passion as a founding engineer at Arcwise.

Harry studied at UC Berkeley for both his M.S. in EECS and B.S. in EECS before joining Arcwise. He studied extensively machine learning, statistics, and natural language processing, and completed his master's thesis under the Berkeley NLP Group of Berkeley AI Research Lab (BAIR). He is excited to bring his knowledge of AI/ML technologies into the realm of industry.