Michael Wee

Strategy Lead

2024 - Current

Venture Partner

2024

Partner

2022 - 2024

Product Manager

2021 - 2022

First member of the Coinbase Incubations team working closely with Brian Armstrong, Sanchan Saxena, and Surojit Chatterjee to originate new ideas (0 to 1) and grow emerging products (1 to n): • PM, Coinbase Commerce (1 to n) • Founding PM, Trust and Safety (0 to 1)

Startup Founder

2019 - 2021

Built, launched, and iterated different product ideas in Enterprise and Consumer

Partner

2016 - 2019

Investments in enterprise infrastructure and applications, AI, web3, and emerging consumer platforms (augmented/virtual reality, self-driving cars), working closely with Marc Andreessen, Ben Horowitz, Chris Dixon, Martin Casado, and Peter Levine. Board Observer at Udacity, Mesosphere, DigitalOcean, Forward Networks, Instart Logic.

Full Stack Engineer and Data Scientist

2014 - 2016

• Worked on the data science team building out projections services, baseline methods, and model evaluation pipelines for Current Year month-over-month data. • Worked on the Data Platform, building smart data ingestion, processing, and storage platforms and tools for mapping, manipulating, and exploring customer data. Multidimensional input data includes Transactions Lines, General Ledgers and Charts of Accounts. Led the design and implementation of an initiative to unify our new Data Platform system with existing backend systems and front-end reporting tools. • Built a City Comparisons application, a tool that allows city managers to visually compare and analyze spending against a set of similar cities. Users can also overlay additional data sources such as census metrics as well as scale and manipulate the data to bring context to the comparison. • Worked with Ruby on Rails, Python, Spark, PostgreSQL. Experience with Javascript & React

Research Assistant

2013 - 2013

Research in machine learning with Patrick Winston.

Software Engineering Intern

2013 - 2013

Built a trigger-based recommendation system for Intuit's QuickBooks Online and QuickBooks Desktop offerings to recommend add-on products such as Payments, Payroll, and third party offerings to customers for greater delight.

Research Assistant

2013 - 2013

Worked on StreetBump in collaboration with the City of Boston to classify street defects based on crowdsourced accelerometer data from smartphones in order to expedite maintenance of roads. Collected test data, conducted data exploration, and machine learning.

Research Assistant

2011 - 2012

Worked on Artificial Intelligence theory to improve on the state of the art of Computer Go. Worked with metareasoning, upper confidence bounding applied to trees, and implemented a Monte Carlo UCT Computer Go agent.