Mike Arpaia

    I'm a computer scientist with a professional focus on machine learning, natural language processing, and data infrastructure.

    I'm particularly passionate about real-time data processing, modern data infrastructure architectures, and the design and implementation of database systems.

    At Moonfire, I lead data and technology efforts, leveraging software and machine learning to optimize the venture capital investment process.

    Professional headshot

    Technical Interests

    Machine Learning

    Working with deep learning approaches to natural language processing, particularly focused on transformer architectures.

    Distributed Systems

    Building distributed systems with a focus on consensus protocols and scalable infrastructure.

    Information Security

    Contributing to system telemetry and security analytics through projects like osquery.

    Venture Capital

    Contributing to data and technology initiatives at Moonfire Ventures.

    Professional Journey

    "You are the sum total of everything you've ever seen, heard, eaten, smelled, been told, forgot - it's all there. Everything influences each of us, and because of that I try to make sure that my experiences are positive."

    — Maya Angelou

    Work Experience

    From security research to venture capital, I've had the privilege of working with exceptional teams across various domains in technology.

    Moonfire Ventures logo
    2020 - Present

    Managing Partner & CTO

    Moonfire Ventures

    Leading AI-focused technology strategy, engineering software solutions, and developing ML systems for investment optimization. Helped raise over $175M across three venture funds.

    Workday logo
    2019 - 2020

    Machine Learning Architect

    Workday

    Led architecture and strategy for data science initiatives, focusing on embedding-based search and recommendation systems.

    Mila - Québec AI Institute logo
    2019 - 2020

    Machine Learning Research Engineer

    Mila - Québec AI Institute

    Developed AI solutions for climate change awareness using cutting-edge techniques in artificial intelligence and climate modeling.

    Kolide logo
    2016 - 2019

    Co-Founder & CTO

    Kolide

    Built and led a remote engineering team, architected backend infrastructure, and developed operating system software for this venture-backed startup.

    Facebook logo
    2014 - 2016

    Engineering Manager & Software Engineer

    Facebook

    Created osquery, the most starred security project on GitHub. Led the Intrusion Detection Infrastructure team, building realtime analytics systems.

    Etsy logo
    2012 - 2014

    Senior Software Engineer

    Etsy

    Led infrastructure and application security initiatives, worked on distributed data analytics and MySQL infrastructure.

    iSEC Partners logo
    2011 - 2012

    Security Engineer

    iSEC Partners

    Worked as a penetration tester and security researcher, specializing in cryptography, secure protocols, and operating system security. Conducted research on mobile device exploitation, programming language security, and mobile application security.

    Gotham Digital Science logo
    2011

    Security Engineer

    Gotham Digital Science

    Conducted security assessments while attending University. Participated in infrastructure and application assessments for various large financial and technology companies.

    Open Source

    I've been passionately working on open source software for my entire career

    osquery logo

    osquery

    While working at Facebook, I created and open sourced the osquery project in 2014.

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    Kubernetes

    I spent several years on the Kubernetes contributor team where I contributed to release, multi-tenancy, and architecture.

    Teaching

    Sharing knowledge and experiences in venture capital, machine learning, and artificial intelligence with the next generation of innovators.

    ETH Zürich logo

    ETH Zürich

    · Sep 2023

    Two lectures about venture capital fund formation, portfolio construction, and portfolio management for PhD and Masters students attending Technology Investing (263-5053-00L) at the ETH AI Center.

    London Business School logo

    London Business School

    · Mar 2023

    Lecture about the use of machine learning and artificial intelligence within venture capital for Masters and MBA students attending LBS E518 (Digital Investing).

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    UCL

    · May 2022

    Lecture about the use of machine learning and artificial intelligence within venture capital for PhD and Masters students attending UCL CEGE0115 (Portfolio Management and Asset Allocation).