Avalon AI

• Define software requirements specifications and identify the best solutions
• Design system architecture and configure resources and dev environments
• Work with a team to develop a full-stack web app for the healthcare industry
• Utilize AWS serverless technologies such as Lambda, API Gateway, DynamoDB

Amplify.ai

• Designed, Developed, tested, deployed, and maintained AI-powered applications
• Built 100+ user engagement apps on various platforms i.e. Facebook, Twitter
• Created a developer-friendly toolkit to facilitate development with SvelteJS
• Implemented user authentication and authorization tools such as 2FA, OAuth, etc.

Freelance

• Develop responsive web applications using HTML, CSS, and JavaScript
• Optimize applications for maximum speed, security, and performance

Postgraduate Certificate, Full-Stack Web Development

• Capstone: Full-Stack banking app with Java, Spring Boot, Angular, MySQL, AWS

Software Engineering B.S.

• Capstone: Grid-Level Energy Negotiation for Electric Vehicle Supply Equipment
• Research Area: Informatics, Human-Computer Interaction, and Self-Tracking
• Honor Society: National Society of Leadership and Success (ΣAπ)

Computer Science

• Activities and societies: Mathematics and Computer Science tutor at MESA

Generative AI for Software Developers Specialization

Generative AI for Software Development Professional Certificate

Design Thinking Certificate

Service Design Certificate

Secure Software Design Specialization

Machine Learning Certificate

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Article No.: 126

• The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library, IEEE Xplore, and PubMed. We surface that the literature has focused on studying and designing for health and wellness domains, an emphasis on understanding and overcoming barriers to data collection and reflection, and progressively fewer contributions involving artifacts being made. Our mapping review suggests directions future research could explore, such as identifying and resolving barriers to tracking stages beyond collection and reflection, engaging more with domain experts, and further discussing the privacy and ethical concerns around tracked data.