Michael Wee

Product Lead

2024

Venture Partner

2024

Managing 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

AI / Enterprise deals: Figma, Replit, Anyscale, Sisu, Golden, Freenome. Crypto deals: Anchorage, dYdX, Dapper Labs, Dfinity. Board observer seats: Udacity, DigitalOcean, Forward Networks, Mesosphere. 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.

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

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

2013 - 2013

Research in machine learning with Patrick Winston.

Program Manager Intern

2012 - 2012

Spearheaded the Microsoft Bing Indexserve team's mobile strategy to improve performance, efficiency, and relevance. I trained an experimental ranker using location data, which showed a net improvement in relevance over the ranker in production. This led Bing shift towards integrating more mobile-specific features in various segments of its index.