Full-stack software engineer exploring healthcare technology
I'm a Georgia Tech M.S. Computer Science candidate specializing in Human-Computer Interaction, and a Software Engineer at Soter Technologies, based in Brooklyn, NY. My work has been full-stack: building secure, usable systems end to end. Through my graduate coursework and side projects I've been studying health informatics and standards like FHIR, and I'm looking to bring that interest into hands-on healthcare technology work.
Academic background
M.S. in Computer Science, Human-Computer Interaction
Georgia Institute of Technology · Atlanta, GA · GPA 3.9/4.0- Coursework spanning big data in healthcare, health informatics, and human-centered interface design.
B.S. in Computer Science & B.S. in Applied Mathematics and Statistics
Stony Brook University · New York, NYWhere I've worked
Software Engineer
Soter Technologies · Ronkonkoma, NY- Designed interfaces, UML diagrams, and GUIs for an internal shipping platform using ReactJS, MUI, and MySQL, resulting in a 20% increase in user engagement.
- Implemented Microsoft Azure API integration to enable work/school account logins on a vape-alert platform, letting users retrieve, create, and delete account data seamlessly.
- Implemented token-based authentication across multiple internal services, including JWT validation and token expiration handling, as part of ongoing security-focused platform work.
Support Engineer
Soter Technologies · Ronkonkoma, NY- Oversaw the IT support department, providing consulting, technical support, and problem tracking via Zoho, Confluence, and Jira, achieving a 92% customer rating.
Developer Intern
Monumenta · Remote- Revitalized the user experience of the RPG classes page by integrating Vue.js and Bootstrap.
- Identified and fixed over 10 bugs within a 6-year-old Java Plugin/Gradle project, improving reliability.
Research & Development Intern
Soter Technologies · Ronkonkoma, NY- Coordinated with a team of three to build a healthcare social platform connecting hospital patients with loved ones.
- Reduced costs by 25% by switching messaging API providers and improved mobile device authentication.
- Authored technical documentation for Flysense's API and engineered a mobile app integrating vaping-detection and security APIs with instant push notifications.
Relevant graduate coursework
CS 6250 · Big Data in Healthcare
Scalable machine learning and big data systems (Hadoop, Spark, Graph DB) applied to healthcare analytics, predictive modeling, and patient similarity.
CS 6440 · Health Informatics
Hands-on work with the FHIR healthcare interoperability standard and Docker-based containerization for healthcare systems.
Human-Computer Interaction
User-centered interface design, usability evaluation, and participant-based research methods.