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
- Machine Learning
- Serverless Tech
- React SSR
- Full Stack Design
- Technical Writing
- Public Speaking
Programming & Languages
- Typescript
- Node.js
- Python
- Java
- Go
- HTML/CSS
Libraries & Frameworks
PROJECTS
Machine Learning Honours Project
Disc Golf Online Rating System
A complete list of projects can be found on logan.codes