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Computer Science Master's Graduate - Actively Seeking Opportunities
A little about me,
About
I hold a master’s degree in Computer Science from CSU Long Beach, where I honed my skills in research, machine learning, and software engineering. My passion for integrating emerging technologies has greatly enhanced my professional and personal growth.
During my time at CSU Long Beach’s D2 Lab, I led a research project focused on boosting academia-industry collaboration, notably with Boeing. My research utilized gaze analytics to predict pilot success and failure, achieving an impressive 83% accuracy. This study highlighted the potential of gaze analytics in creating advanced tools for improving safety and evaluating pilot performance.
In addition to my research, I have experience as a teaching assistant and junior software engineer. These roles have sharpened my ability to tackle complex technical challenges, communicate effective solutions, and drive innovative projects to successful outcomes.
View my portfolio hereMy Skills
Programming and Technical Expertise
Problem-Solving and Analytical Skills
Communication and Teamwork
Tech I'm familiar with
Tech Stack
Git
Django
Flask
MySQL
PostgreSQL
Node JS
React JS
Electron
Experience
Profile
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.
Adjunct Instructor
ABCO Technology – Information Technology Training Institution
2024 — PRESENT
- Collaborated with the department to design and develop new curricula in machine learning and data science, enhancing the program offerings to meet emerging industry demands.
- Implemented assessment tools and techniques to evaluate student progress, providing detailed feedback and tailored support to enhance learning outcomes.
More info here
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.
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.
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.
Education
Academics
Authored
Publications
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
PaperTowards 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
PaperSelective 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
Paper