Peter Gatsby

Computer Science Master's Graduate - Actively Seeking Opportunities


A little about me,


Hello World 🌎

As a Master's graduate in Computer Science from California State University, Long Beach, I've developed a broad skill set in research, software engineering, and machine learning. My eagerness to integrate emerging technologies has greatly enriched my professional capabilities.

At CSULB's D2 Lab , I led a project enhancing academia-industry collaboration, notably with Boeing, focusing on gaze analytics in pilot performance using machine learning, achieving 83% prediction accuracy. I also directed a team on a NASA and LA City-sponsored air pollution prediction project, developing a web and mobile application with React, SASS, and ArcGIS, aligning our product with user needs. These projects showcase my leadership and technical expertise.

My Skills

Programming and Technical Expertise

Problem-Solving and Analytical Skills

Communication and Teamwork

Tech I'm familiar with

Tech Stack




Node JS

React JS

Django REST Framework

Angular JS




I'm a Software Engineer based in Los Angeles, CA, with a strong background in research, machine learning, and full-stack development. I am actively seeking opportunities in a dynamic team that values innovation, collaboration, and diversity.

Research Assistant

CSU Long Beach

2022 — 2023

  • Utilized machine learning algorithms from WEKA to analyze eye gaze patterns, achieving 83% accuracy in predicting pilot success.
  • Coordinated and scheduled simulation sessions to collect and secure critical research data, ensuring its availability and integrity for future analysis and use.
  • Conducted extensive literature reviews and data validation to ensure the accuracy and reliability of research findings.
  • Composed thesis on gaze analytics and pilot performance, presented to Boeing executives to promote research-industry collaboration.
Advisor: Dr. Bo Fu (Boeing Endowed Professor)
More info here

Teaching Associate

CSU Long Beach

2022 — 2023

  • Facilitated student learning through accessible office hours and coding support, enhancing comprehension and problem-solving skills.
  • Applied effective teaching strategies like code demonstrations and flowchart explanations to clarify complex programming concepts.
  • Mentored over 50 students in software engineering principles, resulting in improved academic performance and practical application skills.
  • Developed supplemental instructional materials, including tutorial videos and practice exercises, to reinforce lecture content.
Courses: Introduction to Programming & Problem Solving, Advanced Software Engineering, Software Maintenance, Reengineering & Reuse
Student course evaluations here

Jr. Software Engineer

CSU Los Angeles

2020 — 2021

  • Improved website accessibility by 90% via PHP debugging and applying key accessibility design principles.
  • Employed Agile methodologies for website development, implementing a MERN stack-based architecture, optimizing code, and integrating essential plugins.
  • Collaborated with a team of developers to troubleshoot and resolve software bugs, enhancing website functionality and user experience.
  • Documented development processes and results, creating detailed reports to guide future maintenance and updates.
More info here



Master's Degree in Computer Science

CSU Long Beach

2021 - 2023


Bachelor's Degree in Computer Science

CSU Los Angeles

2016 - 2021




Modelling Visual Attention for Future Intelligent Flight Deck - A Case Study of Pilot Eye Tracking in Simulated Flight Takeoff

Peter Gatsby, Bo Fu, Angelo Ryan Soriano, Kayla Chu, and Nicolas Guardado Guardado

32nd ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP), 2024


Towards Intelligent Flight Deck – A Case Study of Applied Eye Tracking in The Predictions of Pilot Success and Failure During Simulated Flight Takeoff

Peter Gatsby, Bo Fu, Angelo Ryan Soriano, Kayla Chu, and Nicolas Guardado Guardado

SYNERGY: Designing and Building Hybrid Human–AI Systems Workshop, 2024


Using Gaze Analytics for Predicting Pilot Success and Failure

Peter Gatsby

California State University, Long Beach ProQuest Dissertations Publishing, 2023

Paper | Website

Selective Scrubbing Based on Algorithmic Randomness

Peter Gatsby, Rahul Vishwakarma, Bing Liu, Jinha Hwang

SYSTOR '22: Proceedings of the 15th ACM International Conference on Systems and Storage, 2022


Let's Talk


Interested in collaboration, seeking a software engineer, or simply wish to discuss ideas? Feel free to reach out!