Logan Anderson

Software Engineer

PROFILE

Software engineer with 4+ years of experience, specializing in machine learning, TypeScript, React, and Python. Core Contributor of TinaCMS, driving its growth and enterprise adoption.

  • Machine Learning: Executed year-long Honours Project using TensorFlow, reducing CNN parameters by 20% for image classification.
  • Technical Versatility: Proficient in TypeScript, Java, and Python. Developed backend features on AWS for high-traffic applications.
  • Leadership: Led teams, designed editorial workflow for enterprise customers, and developed document classification model.

EXPERIENCE

Stripe

Jan 2024 - Present · 1 yrs 1 mos | Software Engineer

  • Rebuilt Connect Platform Onboarding to enhance UX and improve unified accounts integration, resulting in 30% higher conversion rates and reduced onboarding time
  • Implemented comprehensive observability for Stripe's high-traffic accounts APIs (3000+ requests/hour), enabling rapid identification and resolution of critical Connect integration issues
  • Refactored the Connect dashboard UI to integrate with V2 Accounts architecture, successfully leading cross-functional collaboration across multiple teams to deliver this critical initiative ahead of schedule, improving system cohesion and user experience
  • Redesigned and rebuilt high-traffic account creation dashboard (3000+ daily users) to integrate with Unified Accounts system, improving user experience and system consistency

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%
  • Created a migration tool that transformed a Forestry schema into a Tina config, successfully migrating thousands of users and increased MRR

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