Hi, I'm
Esmé Taylor Richardson
Full-Stack Developer
I design elegant, user-friendly solutions to complex problems.
I am an EMT turned Full-Stack Developer with particular interest in building innovative healthcare solutions to improve the lives of patients and providers alike.
Outside of my healthcare focus, my expertise spans various programming languages and frameworks, enabling me to build scalable, user-focused applications for any purpose.
I thrive in collaborative, high-pressure environments where I am able to make use of my skills and adaptability to create impactful solutions which drive project success.
I have a passion for learning and am continuously seeking to improve my skills and knowledge. Here are some of my current technical skills:
Languages:
JavaScript, TypeScript, Rust, Java, Python, Lua, HTML/CSS, C#, SQL, Golang, R
Frameworks:
React, Electron, Node.js, Django, Next.js, Express.js, Tailwind CSS
Development and Database Management Tools:
Git/Github, Linux, VSCode, IntelliJ, PyCharm, Docker, Amazon Web Services (EC2, S3, Route53), PostgreSQL, MySQL
JavaScript, React, Express.js, MySQL, Git
An at-home charting suite to allow layman providers the ability to document their loved one's vital signs, ensure time-crucial medication administration, take notes on overall patient status, set reminders based on the patient's individual care plan, and allow disseminating of recovery information with other members of the family without individual check-ins.
Typescript, React, Git
https://github.com/achenalia/saiga
Saiga transforms your new tab page into a personal study companion. Built with TypeScript and React, this interactive extension replaces the default new tab experience with a search engine selector designed to keep you focused on what matters most—your learning. Whether you're researching a topic or diving into your studies, Saiga empowers you to stay on track with an intuitive, learning-first interface tailored to your needs, adapting further as new features are added.
Python, Django, React, Next.js, PostgreSQL, Git
https://github.com/achenalia/EmoryConnect
A dynamic networking platform designed to foster connections among Emory University computer science students, algorithmically matching them with eachother based on shared development experience and interests. In addition to the matching system, Emory Connect provided a space for collaboration, project sharing, and skill-building within the university community.
Python, Scikit-Learn, Keras, Git
https://github.com/achenalia/MPoxEval
A local CLI tool which utilizes an Artificial Neural Network to assess symptoms and provide recommendations on Monkey-Pox testing through user input and machine learning to make predictions regarding the patient’s monkey-pox risk and whether to seek medical attention based on their responses.
• Led development and maintenance of richRecovery’s web application, designed and implemented front-end and back-end features for the platform, and defined the ICP for the software as a service (SaaS) marketing strategy,
• Applied HIPAA-compliant data management of sensitive patient information using PostgreSQL and Express.js while optionally allowing patients to share recovery status with their family and healthcare providers.
• Implemented informed warnings to alert users when the patient’s vitals are out of typical range and if it may be advisable to get medical attention.
• Developed and maintained backend functionality using Django and Amazon Web Services (AWS) for a student-oriented networking platform with over 100 active users.
• Integrated a PostgreSQL database to manage user data, including projects, connections, matches, and skill sets comprising over 4,000 options.
• Implemented a matching algorithm to connect computer science majors based on similar development experiences and interests.