Jun 9 2025

🏛️ Night at the Museum Reflection

Showcased MediPulse to students, parents & guests at 7 PM, gathered feedback via Google Forms, and earned extra-credit through a LinkedIn discussion.

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📇 Digital vCard & Contact Hub

Gradient “business-card” page featuring my photo, quick-connect QR codes, a downloadable vCard, and one-click links to email, portfolio, LinkedIn, and GitHub.

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Tracking my work syncing GitHub commit data with a machine learning-based grade prediction tool. Documented challenges, progress screenshots, and current solutions.

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🔑 Key Interests

Over the past year in my AP Computer Science Principles class, I uncovered an enduring love of programming and plan to turn coding into a full-time career.

🏆 Favorite Project

My proudest achievement is MediPulse ↗, a hospital-analytics platform where I served as assistant scrum master and full-stack developer.

Guided workflow & wrote essential front- and back-end code.
Built the core ML algorithm ranking hospitals by safety, experience, location, and adverse-event rate.
Designed an interactive map UI with location picker & medical-issue filtering.
Developed a second ML pipeline that optimizes hospital YouTube videos (titles, thumbnails, tags, length).

📓 Blog: Project Overview & Unique Contributions

Project	Purpose	My Contributions
DNHS Café	Chat room where users earn “coffee points” redeemable for real drinks.	Developed the frontend & HTML for the chatroom.
Travelor	Helps travelers discover and manage vacation spots.	Built an interactive map (add / remove / view / delete locations). Integrated a chatbot & 3-D globe navigator.
MediPulse	Optimizes hospitals’ social-media presence on YouTube. Live ↗	Assistant scrum master & lead on toughest webpages + ML models. Built full backend ML pipeline & interactive frontend. Added an extra ML system for YouTube video optimization.

My Journey Through the Trimesters

Tri 1

I got accustomed to coding platforms and tools and familiarized myself with GitHub for version control. Although I was initially slow with projects and learning VS Code as my main IDE, by the end of the trimester I could write basic HTML pages, minimal JavaScript functions and Python scripts, and use GitHub for cloning, pushing, and committing code.

Tri 2

I accelerated my workflow and deepened my knowledge of JavaScript, Python, and full-stack development principles. I invested significant time in the Travelor project, building a frontend using HTML/CSS and DOM manipulation that connects to a backend Flask API. I also learned how to structure routes, handle JSON data, and deploy my work using platforms like Replit and Render.

Tri 3

For MediPulse, I developed and deployed two production-ready machine learning models:

A score-prediction model in scikit-learn that ranks hospitals based on location, safety, experience, and adverse event rates. It includes feature weighting, normalization, and logistic regression.
A 300-tree RandomForestClassifier that predicts YouTube video performance using title metadata and synonym augmentation powered by nltk and WordNet.

I also integrated a Gemini Pro API module to generate engagement strategies and created fully responsive frontend components in HTML/CSS and Tailwind to interface with each backend service via Flask routes.

Team Contributions

As an assistant scrum master, I:

Shared my ML logic and code snippets, influencing Gavin Copley’s edit_optimization.py implementation.
Assisted Daksha Gowda and Thomas Bao in turning backend specs into Figma wireframes and functional UI mockups.
Led ideation sessions and collected usability feedback to enhance our UI/UX through structured iteration.
Collaborated with Gavin to manage GitHub Projects, enforce commit discipline, and run stand-ups for sprint accountability.