UC Irvine Undergrad Student
B.S. Computer Science,
Specialization in Intelligent Systems
Code, design, and accessibility in harmony.
Projects:
Website Redesign – UCI Schedule of Classes | Figma, UX Research, Wireframing
Reimagined UCI’s Schedule of Classes to simplify search and comparison for students. Led user stories, task flows, and journey mapping to identify pain points and streamline navigation. Consolidated scattered search steps into one interface with filters and clearer feedback. Designed and prototyped hi-fi wireframes in Figma, using heuristic principles (Shneiderman & Norman) to guide layout, spacing, and color for usability and brand consistency. Collaborated cross-functionally to test and iterate on final interactive prototypes that reduced cognitive load and improved discoverability.
Link: Interactive Figma
IMDB Sentiment Classifier | Python, scikit-learn, NLP
I built a binary sentiment classifier for IMDB movie reviews using Bag-of-Words (CountVectorizer) and evaluated models including kNN, Logistic Regression, MLP, and Linear SVM. I tuned and implemented the LinearSVC, running hyperparameter sweeps to balance bias and variance and achieved improved test accuracy by lowering regularization (C=0.1). Our experiments compared learning curves across models, revealing overfitting in MLP and stronger generalization in SVM and Logistic Regression. I co-authored the Results and Insights sections and analyzed the limits of Bag-of-Words on ambiguous sentiment, motivating exploration of contextual NLP models.
Link: Full Report
Link: Github
Website Redesign – UCI Schedule of Classes | Figma, UX Research, Wireframing
Reimagined UCI’s Schedule of Classes to simplify search and comparison for students. Led user stories, task flows, and journey mapping to identify pain points and streamline navigation. Consolidated scattered search steps into one interface with filters and clearer feedback. Designed and prototyped hi-fi wireframes in Figma, using heuristic principles (Shneiderman & Norman) to guide layout, spacing, and color for usability and brand consistency. Collaborated cross-functionally to test and iterate on final interactive prototypes that reduced cognitive load and improved discoverability.
Link: Interactive Figma
IMDB Sentiment Classifier | Python, scikit-learn, NLP
I built a binary sentiment classifier for IMDB movie reviews using Bag-of-Words (CountVectorizer) and evaluated models including kNN, Logistic Regression, MLP, and Linear SVM. I tuned and implemented the LinearSVC, running hyperparameter sweeps to balance bias and variance and achieved improved test accuracy by lowering regularization (C=0.1). Our experiments compared learning curves across models, revealing overfitting in MLP and stronger generalization in SVM and Logistic Regression. I co-authored the Results and Insights sections and analyzed the limits of Bag-of-Words on ambiguous sentiment, motivating exploration of contextual NLP models.
Link: Full Report
Link: Github
Website Redesign – UCI Schedule of Classes | Figma, UX Research, Wireframing
Reimagined UCI’s Schedule of Classes to simplify search and comparison for students. Led user stories, task flows, and journey mapping to identify pain points and streamline navigation. Consolidated scattered search steps into one interface with filters and clearer feedback. Designed and prototyped hi-fi wireframes in Figma, using heuristic principles (Shneiderman & Norman) to guide layout, spacing, and color for usability and brand consistency. Collaborated cross-functionally to test and iterate on final interactive prototypes that reduced cognitive load and improved discoverability.
Link: Interactive Figma
IMDB Sentiment Classifier | Python, scikit-learn, NLP
I built a binary sentiment classifier for IMDB movie reviews using Bag-of-Words (CountVectorizer) and evaluated models including kNN, Logistic Regression, MLP, and Linear SVM. I tuned and implemented the LinearSVC, running hyperparameter sweeps to balance bias and variance and achieved improved test accuracy by lowering regularization (C=0.1). Our experiments compared learning curves across models, revealing overfitting in MLP and stronger generalization in SVM and Logistic Regression. I co-authored the Results and Insights sections and analyzed the limits of Bag-of-Words on ambiguous sentiment, motivating exploration of contextual NLP models.
Link: Full Report
Link: Github
Website Redesign – UCI Schedule of Classes | Figma, UX Research, Wireframing
Reimagined UCI’s Schedule of Classes to simplify search and comparison for students. Led user stories, task flows, and journey mapping to identify pain points and streamline navigation. Consolidated scattered search steps into one interface with filters and clearer feedback. Designed and prototyped hi-fi wireframes in Figma, using heuristic principles (Shneiderman & Norman) to guide layout, spacing, and color for usability and brand consistency. Collaborated cross-functionally to test and iterate on final interactive prototypes that reduced cognitive load and improved discoverability.
Link: Interactive Figma
IMDB Sentiment Classifier | Python, scikit-learn, NLP
I built a binary sentiment classifier for IMDB movie reviews using Bag-of-Words (CountVectorizer) and evaluated models including kNN, Logistic Regression, MLP, and Linear SVM. I tuned and implemented the LinearSVC, running hyperparameter sweeps to balance bias and variance and achieved improved test accuracy by lowering regularization (C=0.1). Our experiments compared learning curves across models, revealing overfitting in MLP and stronger generalization in SVM and Logistic Regression. I co-authored the Results and Insights sections and analyzed the limits of Bag-of-Words on ambiguous sentiment, motivating exploration of contextual NLP models.
Link: Full Report
Link: Github
Experience:
Coding Languages
Python, C/C++, SQL, JavaScript, Swift, Assembly, HTML, CSS
Coding Languages
Python, C/C++, SQL, JavaScript, Swift, Assembly, HTML, CSS
Coding Languages
Python, C/C++, SQL, JavaScript, Swift, Assembly, HTML, CSS
Technical Skills
Unit Testing, Microsoft Office, Figma, Framer
Technical Skills
Unit Testing, Microsoft Office, Figma, Framer
Technical Skills
Unit Testing, Microsoft Office, Figma, Framer
Education:
UC Irvine
Bs. Computer Science (Intelligent Systems)
2023-Present
UC Irvine
Bs. Computer Science (Intelligent Systems)
2023-Present
UC Irvine
Bs. Computer Science (Intelligent Systems)
2023-Present
International School of Lausanne
International Baccalaureate Diploma Awarded
2019-2023
International School of Lausanne
International Baccalaureate Diploma Awarded
2019-2023
International School of Lausanne
International Baccalaureate Diploma Awarded
2019-2023
About me:
Hi, my name is Shea.
I’m a 21-year-old Computer Science student specializing in Intelligent Systems at UC Irvine. Alongside Dr. Stacy Branham, I conduct research in accessible technology, focusing on helping low-vision and blind high school students transition into college STEM degrees.
Growing up, my family and I moved around a lot — I attended elementary school in Texas, middle school in Italy, and high school in Switzerland. So it only felt natural to move once again for university, which is how I ended up in Irvine, California.
At UCI, I discovered my passion for accessibility and inclusive technology. Growing up with dyslexia meant I often relied on different assistive tools to support my education, which gave me firsthand experience with the impact of accessible design.
It wasn’t until later that I realized the industry behind these tools often falls under Computer Science. I found myself drawn more toward user experience and design-oriented courses than traditional CS ones — and that’s what sparked my interest in pursuing Human-Computer Interaction (HCI) for my master’s degree.
About me:
Hi, my name is Shea.
I’m a 21-year-old Computer Science student specializing in Intelligent Systems at UC Irvine. Alongside Dr. Stacy Branham, I conduct research in accessible technology, focusing on helping low-vision and blind high school students transition into college STEM degrees.
Growing up, my family and I moved around a lot — I attended elementary school in Texas, middle school in Italy, and high school in Switzerland. So it only felt natural to move once again for university, which is how I ended up in Irvine, California.
At UCI, I discovered my passion for accessibility and inclusive technology. Growing up with dyslexia meant I often relied on different assistive tools to support my education, which gave me firsthand experience with the impact of accessible design.
It wasn’t until later that I realized the industry behind these tools often falls under Computer Science. I found myself drawn more toward user experience and design-oriented courses than traditional CS ones — and that’s what sparked my interest in pursuing Human-Computer Interaction (HCI) for my master’s degree.
About me:
Hi, my name is Shea.
I’m a 21-year-old Computer Science student specializing in Intelligent Systems at UC Irvine. Alongside Dr. Stacy Branham, I conduct research in accessible technology, focusing on helping low-vision and blind high school students transition into college STEM degrees.
Growing up, my family and I moved around a lot — I attended elementary school in Texas, middle school in Italy, and high school in Switzerland. So it only felt natural to move once again for university, which is how I ended up in Irvine, California.
At UCI, I discovered my passion for accessibility and inclusive technology. Growing up with dyslexia meant I often relied on different assistive tools to support my education, which gave me firsthand experience with the impact of accessible design.
It wasn’t until later that I realized the industry behind these tools often falls under Computer Science. I found myself drawn more toward user experience and design-oriented courses than traditional CS ones — and that’s what sparked my interest in pursuing Human-Computer Interaction (HCI) for my master’s degree.
Questions?
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Available for jobs, freelance projects, and research. Contact me at:
If you would like to chat about a potential collaboration, please get in touch!
Available for jobs, freelance projects, and research. Contact me at:
If you would like to chat about a potential collaboration, please get in touch!
Available for jobs, freelance projects, and research. Contact me at:
If you would like to chat about a potential collaboration, please get in touch!