Worked with Amazon SWE tools and AWS AI as a newly partnered Amazon company• Translated over 5+ languages using Amazon’s Haiku AI, cross-referenced each translation using GoogleTranslate and Chat-GPT for over 2000 words/terms• Created a web crawler using Scrapy to obtain Amazon product information to train AI models forclients, with fully customizable parameters to avoid partnered companies• Web crawler was able to scrape over 5300 results per hour, can expand to over 10000 results if betterproxy system was implemented.• Dissembled old company servers and combined parts to create a new company server running Linux.

Developed API for the company’s B2B web product to connect real-time sales information to client’sdashboard using GraphQL, tested each function using Postman• Created and improved the front-end user interface using React.js and Spring Boot framework while usingDocker Desktop to create a local testing environment• QA tested the product on Android, IOS, and Chrome while sending detailed reports of each bug overSlack

Worked as a full-stack web developer for a voting application, set up local environment using XAMPPApache web server technology• Implemented MySQL to register users of different access levels according to school system hierarchy.(Board member, Principle, Teacher, Student Leader, etc)• Created a real-time data display for all users with varying displayed information based on access level,using basic HTML and CSS