Martín Garcia
Hello! My name is Martin Garcia. I recently earned my A.S. from Chabot Community College and I am currently a Junior at Cal State East Bay, pursuing my Bachelor's degree in Computer Science. I enjoy the versatility that the field offers; I often find myself dabbling in various areas such as website development, data cleaning/collecting, and game development. Computer science grants me the freedom to explore these diverse interests. I take great pleasure in conceptualizing an idea and bringing it to life, knowing that it can be utilized by my friends and family. Below you can find some of my professional work at a start up company in the bay area as well as freelance work and some personal projects. Feel free to reach out!
PROJECT
Smoakland
Full Stack Developer
Jan 2021 - May 2022
I collaborated closely with the marketing team to create templates showcasing the delivery locations available to our users. I integrated these templates with a Content Management System (CMS) to streamline the content generation process for our marketing team, enabling them to produce content efficiently. The templates were designed to comply with SEO best practices, enhancing our website 's visibility in search engine results.
PROJECT
Francisco Zermeño
contract
(May 2022 - June 2022)
I worked with Mr.Zermeño to redesign and develop his website, making it mobile responsive, userfriendly, and including a custom blog built with a headless CMS.
PROJECT
Cat Gore Hair
contract
(July 2022 - August 2022)
I created a clean and user-friendly website for a hairstylist to showcase her services, customer reviews, and provide a booking form for clients. The website features a modern design with a focus on simplicity and ease of use for her clients.
PROJECT
Bombastic Reading
Chrome extension
Developed a Chrome extension that enhances the user's reading speed, particularly beneficial for quickly skimming through articles or blogs. The extension highlights a portion of the text by making it bold and increasing the font size. Implementation involved the use of a hashmap for quick reverting back to the original text.
