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    Cody Breene

    Cody Breene

    I like building things from the ground up.

    Typescript, AWS, DynamoDB

    Current: Founding Engineer @AdaptAPI
    Previous: ML @Meta, Sr. Software Engineer @extend

    Full-Stack Engineer San Francisco Bay Area Colgate University '13
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    Experience
    Adapt API
    Adapt API
    Founding Engineer 2022 - Present (about 4 years)
    Building the API for property and casualty insurance.
    Extend
    Extend
    Senior Software Engineer 2020 - 2022 (over 2 years)
    - Led the effort to build Shipping Protection on Shopify, opening a multi-million dollar business vertical
    - Refactored our Shopify application to handle millions of webhook... more events using various AWS technologies (API Gateway, Lambda, SNS/SQS, DynamoDB)
    - Customized over 50 Shopify storefronts for Enterprise clients using Javascript and Shopify’s Liquid templating language
    Facebook
    Facebook
    Analytics Project Manager 2015 - 2019 (about 4 years)
    - Designed natural-language-processing machine learning models using Facebook’s FBLearner AI platform, uncovering critical product issues and analyzing millions of user reports
    -... more Built an automated system that detected root causes for mission critical software bugs
    - Provided leadership with user feedback on the entire iOS Facebook ecosystem through enabling the translation of 90K mobile app reviews using ETL pipelines

    - Redesigned the internal signal management program for Facebook’s automated personal assistant, identifying and resolving top user issues and unblocking the launch of Assistant on Portal
    - Provided the 100MM people using Messenger’s in thread assistant with a voice by building a feedback loop into the product
    Giggity
    Giggity
    Co-Founder 2013 - 2014 (over 1 year)
    - Developed online booking platform (www.giggity.co/) connecting performers to university bookers through Colgate’s Thought into Action incubator program
    - Raised working... more capital for initial product development
    - Signed on over 95 unique performers to the platform, along with 36 bookers representing 20 universities
    - Booked gigs with an average artist fee of $1,500
    - Pitched our platform to performers, university administrators and investors
    - Researched booking process by engaging with performers, booking agents and industry experts
    Founder
     
    Employee
    Giggity, Facebook, Extend, Adapt API
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    Merkle Money
    A cryptocurrency trading application inspired by Coinbase.
    Fullstack engineer, Ruby on Rails, React, Redux · Create a mock cryptocurrency portfolio based on real-time cryptocurrency price data. Built with Ruby… · More on Rails, PostgreSQL, React.js and Redux.js
     
    Education
     
    About
    Achievements

    I'm a senior software engineer with a background in project management and machine-learning. At Facebook, I built natural-language-processing models that categorized millions of user-reports, and spearheaded a system that automated bug detection and resolution.

    I'm currently working at Adapt API, an insure-tech startup automating servicing for the property and casualty industry.

    Describe the most impressive thing you've done.
    Skills
    SQL React.js Javascript HTML5 & CSS3 TypeScript AWS Serverless AWS Lambda Shopify
    Locations
    San Francisco Mountain View Palo Alto Menlo Park Silicon Valley New York City
     
    Q&A
    What's the most useful business-related book you've ever read?

    The Black Swan

    What's your favorite non-business book?

    Infinite Jest

    What aspects of your work are you most passionate about?

    I'm most passionate about taking tough problems, breaking them down into digestible pieces, and building software solutions from the ground up to solve those problems.

    What's your super power?

    I'm able to take complex technical problems, break them down into actionable insights, then execute solutions using code.

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