As a full stack engineer I have worked extensively with Javascript/Typescript, React/React-Native, HTML, CSS, and other front end technologies, as well as building and deploying back end architectures using Node.js, Python, PostgreSQL, MongoDB, and AWS. I am highly motivated, scrappy, and a fast learner who enjoys taking on complex problems. I am ready to flex my skills and continue leveling up in a challenging and fulfilling environment, and I am hungry for the opportunity to leverage my unique skills and experience to contribute to exciting and efficient projucts.
In addition to my experience working on agile teams with other engineers, I also single-handedly built a full stack application recently which leveraged both the MERN stack and the OpenAI GPT-3.5 model to deliver precise and efficient solutions for developing curriculum materials for music students. I am constantly looking to create and grow as a software engineer, and my inexhaustible passion for building products and solving real-world problems makes me a formidable creative force as a software engineer.
Employment and project experience
Superbox Mobile App - provided a feature-rich mobile sales app for comics and related media, including a marketplace for browsing listings, a cart page for managing purchases, and a profile page for managing user settings.
-Collaborated with 7 engineers in an AGILE environment to decide project architecture, Git workflow (including code reviews), daily stand up times, and division of labor
-Increased efficiency by reducing API calls by 66% through leveraging of useContext
-Completed client deliverables ~25% faster by building reusable custom components with React-Native
Repertoire - end-to-end development of a web app for discovering and managing curriculum materials for music students.
-Decreased API response from 4s to 1.5s by A/B testing prompts to the GPT-3 AI model
-Delivered consistent UX on desktop, tablet, and mobile screens by implementing responsive web design
-Used Postman to verify API behavior by pinging each endpoint as it was created and logging requests
Galaxy Commerce - converted a monolithic legacy API into scalable and efficient microservices capable of handling high-volume traffic.
-Populated a PostrgreSQL database with 3+ million entries by loading CSV files to an AWS virtual machine
-Reduced database response by 111% from 450ms to ~5 ms by implementing foreign key indexes and
performance tuning SQL queries with aggregate operations
-Increased throughput by 400% with ~20 ms latency and 0% error rate by horizontally scaling with 3 AWS EC2 instances and Nginx round robin load balancing algorithm
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