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Frontend-leaning engineer focused on React and TypeScript. Formerly @AWS, now developer relations @Stripe. Full-stack human.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
stripe
Data Scientist
June 22, 2026 – Present
stripe-projects-visualizer
May 20, 2026 – Present
Visualize the architecture of a Stripe Project in the CLI
View Projectagentic-commerce-workshop-starter-kit
January 20, 2026 – Present
Agentic Commerce Workshop Demo
View Projectlex-lambda-bedrock-app-composer
December 15, 2023 – Present
A clone of lex-lambda-bedrock-cdk-python using AWS Application Composer
View Projectbeginner-chat-api
September 21, 2023 – Present
A getting started project for working with the ChatGPT API in the frontend
View Projectbinary-tree
June 23, 2021 – Present
A binary tree generator in JavaScript. Because coding interviews suck.
View Projectleast-you-can-do
October 22, 2019 – Present
Employers, this is literally the least you can do.
View Projectserverless-gong
November 14, 2018 – December 19, 2019
A serverless gong with GitHub and Slack webhooks - made for the No Server November Challenge
View Projectdjango_bingo
March 20, 2018 – Present
A fun {'fun': not_fun} way to collect your Django errors!
View Project20180116-FullStack-Day
January 16, 2018 – July 12, 2024
repo for the Python / HTML / CSS / JavaScript / Django Full Stack course starting 1/16/2018
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and problem-solving, which can be a positive cultural fit for an innovative environment. However, the projects are predominantly web development and general scripting, with limited direct alignment to core Data Scientist responsibilities beyond basic Python usage. The 'experienceLevel' is 0, and the listed 'Data Scientist' role at Stripe has a future start date, indicating a lack of current professional data science experience. This suggests a potential mismatch with the target role's typical requirements for a Data Scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.