Malia Yraguen's Portfolio

About Malia

Picture of Malia

Malia is a beginner software developer based in San Diego, California. Malia worked as a Research Associate and then as a Research Project Manager on an artificial intelligence team at HP Inc.


After working in the tech industry alongside software and machine-learning engineers, Malia realized she wanted to learn more about coding. She gained beneficial exprience in Python on the job but desired to expand her coding skillset.


Malia is studying fullstack software development through UC Berkeley's Extension Coding Bootcamp. The bootcamp curriculum covers JavaScript, Node.js, HTML, CSS, C#, MySQL, and more. This program ends in Spring 2023 and Malia is excited to get back to the workforce with techincal coding knowledge so she can successfully lead engineers as a TPM at a SAAS company.


Contact Malia at maliayraguen@gmail.com


Check out her projects and work experience below!

Projects

Grubfinder

Find foods in your area or at any area you search! Filter restaurants by cusine, diet, and price.

Horiseon Social Solutions Inc. Website

Challenge 1 for UCB Coding Bootcamp.

Work Experience

Research Project Manager | Omnicept AI


Responsibilities:


  • Managed team of global researchers and collaborated with 7 AI team members.
  • Lead daily scrum meetings, sprint planning, and sprint reviews.
  • Oversaw 7 research projects from conception to execution to analysis.
  • Represented HP Inc. during meetings with 3rd party research labs to establish research goals and understand results.

Skills:


  • Agile Project Management.
  • Analytic thinking informed by data-driven approaches.
  • Strong effective written and oral communication.

Research Associate | Omnicept AI


Responsibilities:

  • Manage data collection on B2B virtual reality headsets in 3 global locations.
  • Collaborate with machine learning engineers, software developers, and key business stakeholders to establish research priorities.
  • Utilize basic Python programming to pull and organize data from over 1,000 participants

Skills:

  • Python and Jupyter Notebook to organize thousands of biometric data.
  • Microsoft Office (Word, Excel, Outlook, and PowerPoint).
  • MATLAB, SPSS Statistics, and Qualtrics.