Hi, my name is
Esai Morales.
I'm a Software Engineer pursuing a Master's in Computer Science & Engineering at Santa Clara University. Currently working at SCU's Frugal Innovation Hub where I assist in the coordination, development, and deployment of student-built, humanitarian software.
A BIT ABOUT ME
![](images/profile.jpg)
Hello! I'm Esai, a Software Engineer and recent graduate from Santa Clara University. I was born and raised in Portland, Oregon but moved to Santa Clara, California for college and to pursue a career in tech.
I enjoy working on all kinds of software projects, from web development to data science and machine learning. When I'm not working on code, I enjoy playing classical guitar.
WHERE I STUDIED
WHERE I'VE WORKED
SOME STUFF I'VE BUILT
News Breaking
![](images/news_breaking_3phone_mockup.png)
A fake news detection and fact summarization tool. News Breaking scrapes the web for articles on a current event, compares them against each other to identify claims likely to be true, and presents a succinct, fact-based summary to the reader.
As part of my senior design project at Santa Clara University, I designed and developed the UI of the News Breaking web application. The application was developed to be responsive, scaling accordingly for enhanced readability across devices.
Course Equivalence Tracker
![](images/macbook_ce_search.png)
![](images/macbook_ce_add.png)
Keeps track of all advisor-approved courses outside Santa Clara University equivalent to those at SCU. Advisors can add, remove, edit, or search for previously established equivalences through a simple authentication system.
I was involved in mutliple aspects and all stages of this project - from requirement elicitation to designing the database schema to implementing the front-end for the web tool.
Esai Morales Guitar
![](images/guitar_website.png)
A responsive website for my music business. Designed with simplicity and minimalism in mind. Feel free to explore my guitar music here.
OTHER PROJECTS
Movie Recommendation System
A movie rating predictor using a 200 test-user dataset with 1000 movie ratings each. Implemented collaborative filtering and ensemble algorithms.
Toxic Comment Classification
Implemented an online comment classifier to detect varying levels of toxicity.
Spam Detector
A simple spam detector that uses Logistic Regression for classifying email messages.