Logan Anderson

Software Engineer

PROFILE

Software engineer with 6+ years of experience, specializing in TypeScript, React, and full-stack product engineering. Building Connect integrations at Stripe.

  • Connect / Full Stack: Engineering lead for Agentic Commerce for Platforms and Dashboard Account Create, shipping Connect product used by major platforms.
  • Technical Versatility: Proficient in TypeScript, React, and Python. Built high-traffic Connect product surfaces spanning frontend, backend, and partner integrations.
  • Platform partnerships: Worked directly with large platforms including Wix, WooCommerce, and BigCommerce on Connect integrations and Agentic Commerce.

EXPERIENCE

Stripe

Jan 2024 - Present · 2 yrs 8 mos | Software Engineer

  • Engineering lead for Agentic Commerce for Platforms—led a team of five to launch private preview at Sessions, and worked directly with large platforms including Wix
  • Engineering lead for Dashboard Account Create—cut average connected-account creation time by 66%, reduced 400 errors by 60%, and increased platforms creating an account in the first 3 days from 28% to 38%
  • Removed OAuth as the default for Standard Dashboard account creation, reducing accounts created in suboptimal shapes by ~84%
  • Rebuilt Connect Platform Onboarding for Unified Accounts (majority of frontend PRs during the project), increasing conversion by 28%

TinaCMS

Apr 2020 - Dec 2023 · 3 yrs 9 mos | Software Engineer

  • Lead Developer and maintainer of TinaCMS, an open source headless CMS that commits content directly to Git.
  • Developed Tina's core Typescript client that is generated based on a user's schema which increased usage of TinaCMS by over 300% in the following months
  • Designed and implemented an editorial workflow which was crucial to the procurement of many enterprise customers such as Smashing Magazine
  • Implemented backend features such as data caching, validation, and business logic on AWS using DynamoDB, S3, and Serverless Stack (SST) on a high traffic application with an uptime of over 99.99%

iWave

May 2019 - April 2020 · 1 yr | Machine Learning Engineer

  • Engineered and deployed a learning pipeline that scraped and classified millions of PDF documents with 95%+ accuracy, significantly improving donor identification efficiency and data quality for fundraising intelligence

EDUCATION

University of Prince Edward Island

Bachelor of Science, Double Major, Computer Science and Mathematics (Honours)
  • Recipient of UPEI Faculty Association Silver Medal ( Second highest mark in all of UPEI for third year)
  • Graduated with a 4.23/4.3 GPA
  • First Class Standing
  • Dean's List (2018-2021)

SKILLS

Core Skills

  1. Machine Learning
  2. Serverless Tech
  3. React SSR
  4. Full Stack Design
  5. Technical Writing
  6. Public Speaking

Programming & Languages

Libraries & Frameworks

PROJECTS

Machine Learning Honours Project

Used VPNN to reduce the number of parameters in CNN by 20% for image classification gaining a foundational understanding of machine learning, neural networks and Tensorflow

Disc Golf Online Rating System

Create and deployed an online rating system, used by to clubs, that Bayesian approximation to generate leader-boards for recorded disc golf rounds.

A complete list of projects can be found on logan.codes