During my first year at Amazon, I worked on Career Choice. At the time, Amazon would pay up to 95% of tuition and fees (capped annually) for eligible employees towards a certificate or diploma in qualified fields of study, leading to in-demand jobs. Amazon has since announced that over 300,000 employees worldwide have participated in the program.
The application I developed is built on Salesforce using HTML5, JavaScript, and Sass. Working with the proprietary Apex programming language and Visualforce framework, I built dynamic experiences for every unique user from 14 countries and in 9 languages. Due to the global nature of the product, I learned the value of localization and accessibility at scale.
Key Contributions
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Refactored the front-end and API layer of the "Apply for Tuition" process to meet new business requirements and deliver an updated user experience. Launched globally in December 2020.
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Built a Python tool using the Salesforce Metadata API to automate language translations, replacing a manual process of copying content from Excel spreadsheets into Salesforce. The tool converted Excel content into deployable XML files, reducing the time needed to support 9 languages.
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Solved a file size limitation by implementing a JavaScript chunking technique to recursively split large uploads into smaller pieces before sending them to the server, improving reliability for PDF, PNG, and JPG uploads.
The program has kept growing since. In June 2026, Amazon committed $1 billion to Career Choice through its Future Ready 2030 fund, with plans to upskill another 500,000 employees across the 14 countries where the program runs.