My experience working on a team of 5 to build a nurse-match chatbot for AskMargot.
"Margot" is an AI Chatbot that uses NLP to interact with nurses, answer queries, and provide personalized
job recommendations, designed to improve travel nurse recruitment by replacing traditional recruiters with
data-backed, review-based job matching.
It scrapes and analyzes hospital reviews to match nurses with assignments tailored to their skills,
work-life balance, and preferences. It also learns from user interactions to refine job matches over time, and
provides real-time notifications on hospital openings, trends, and workplace insights.
Through building Margot, I gained experience in AI and NLP, and strengthened my skills in web scraping, data analysis,
and backend development using AWS and OpenAI to create a dynamic platform.
This is an ongoing project of mine. I am currently working on a machine learning challenge with Break Through Tech and the Algorithmic Justice League to develop an inclusive dermatology AI model. My goal is to train a model that accurately classifies 16 different skin conditions across diverse skin tones, addressing biases in dermatology AI tools using Kaggle datasets. This initiative aims to reduce health disparities by improving AI-driven dermatology diagnoses.
During my internship at Elimu Informatics, I worked on a project that involved integrating A2D2 services to facilitate the
collection of patient-reported outcomes (PROs) via text messages. I helped design a system that would send scheduled text
messages to patients, prompting them to complete PROs at specified times set by their physicians. Once the patients submitted
their responses, another service was used to transform the completed PROs into formatted documents and upload them to the
patient's chart in the Electronic Health Record (EHR) system.
This experience allowed me to deepen my understanding of
healthcare data integration, particularly how technology can streamline the collection and processing of patient feedback.
I also learned how to integrate various services within a healthcare system to improve patient engagement and clinical workflows,
while gaining hands-on experience with cloud technologies like AWS Lex and Lambda for service integration.
This is the third version of my personal website, built using Flask, HTML, and CSS. The first version had poor visibility, while the second one, though similar in color scheme, had an inconsistent UI across devices. This latest version improves the design for better visual appeal and includes more details about my work (like what you're reading now)!
I currently serve as a Trustee At-Large and Chair of the Services Committee for the University Recreation Board of
Trustees (URECBOT) at CSULB, advocating for student needs and ensuring recreation services align with their well-being.
As Chair, I lead initiatives to enhance accessibility, engagement, and quality in campus recreation, collaborating
with trustees, staff, and students to assess programs, propose improvements, and foster an inclusive campus experience.
This experience has been incredibly valuable, teaching me leadership skills, strategic decision-making, and the
importance of taking initiative beyond the realms of hands-on technology. It has allowed me to develop a broader
perspective on student advocacy, governance, and community impact, further shaping my ability to drive meaningful change.