Kieran Mendoza

About Me

Computing undergraduate at the National University of Singapore (NUS).

Background

I am currently pursuing a degree in Computing at the National University of Singapore (NUS). Previously, I studied at NUS High School of Mathematics and Science, where I completed majors in Computing Studies, Mathematics, Physics, and Chemistry.

My technical interests span software engineering, data systems, autonomous tools, and fluid dynamics. I enjoy building modular tools that solve real workflow bottlenecks—from high-throughput personal data analytics engines to desktop applications with clean OOP architectures.

Research

In fluid dynamics, I co-authored an experimental and theoretical study on upstream contamination (surfactant migration driven by the Marangoni effect against falling fluid streams), published in IRC-SET 2022 by Springer Singapore:

  • Investigating Factors Affecting Upstream Contamination (2023). Published in IRC-SET 2022, Springer Singapore, pp. 313–320. DOI: 10.1007/978-981-19-7222-5_24.

Technical Skills

Languages

Python, Java, C/C++, SQL, JavaScript, HTML/CSS

Frameworks & Libraries

JavaFX, Flask, Pandas, Plotly, PyTorch, Scikit-Learn

Tools & Environments

Git, Parquet, Gradle, JUnit 5, Linux, Bash

Domains

Software Engineering, Data Analytics, Aerodynamics, Robotics

Interests

  • Aviation & Aerodynamics: Flight dynamics, aerodynamic lift and downforce mechanics in motorsport and aircraft.
  • Robotics & Autonomous Systems: Embedded logic, algorithmic planning, and telemetry.
  • Motorsports: Technical regulations, aerodynamic development, Formula One, and WEC.

Contact

Feel free to reach out via email or explore my repositories on GitHub: