Loi Nguyen
Summary
Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Overview
1
1
year of professional experience
Work History
Undergraduate Student Researcher
New Jersey Institute Of Technology, NJIT
05.2023 - Current
- Designed Specimin, a Java tool capable of transforming input Java code into a minimal, compilable, and dependency-free version, emphasizing the retention of the desired methods with their essential dependencies and specifications, while minimizing extraneous components
- Utilized Specimin to validate the practicality of type-checking at code review time
- Assisted other researchers who relied on Specimin as the main tool for their research projects
- Participated in regular meetings to discuss aspects of research and experiments.
Undergraduate Student Researcher
New Jersey Institute Of Technology, NJIT
09.2022 - 05.2023
- Built a Java program to validate the accuracy of a type inference algorithm
- Recorded and analyzed data to produce reports of results.
- Developed new protocols and improved existing laboratory processes.
- Participated in lab meetings and project presentations.
Education
Bachelor of Science - Computer Science
New Jersey Institute of Technology
05.2024
Skills
Java
Git
Linux
Agile (Scrum)
Gradle
Android Studio
JavaScript
Nodejs
PUBLICATIONS
"Pluggable Type Inference for Free" – M. Kellogg, D. Daskiewicz, L. Nguyen, M. Ahmed, ASE 2023
TECHNICAL PROJECTS
Recipe Suggestion
In Progress
- Created a user-friendly Android app with Java to streamline meal planning, minimize food waste, and offer recipe suggestions based on the ingredients available in users' refrigerators.
- Added YouTube cooking tutorial links to provide users with step-by-step cooking guidance for each suggested recipe.
Programming Lang. & Interpreter
Spring 2023
- Developed a comprehensive interpreter for a Pascal-like language using C++, which included building a lexical analyzer and a parser based on the analyzer.
Dice Game Advisor
Spring 2023
- Applied Machine Learning to find the optimal policy to win a Dice game
- Evaluated and compared the effectiveness of Reinforcement Learning and Linear Programming algorithms as the foundation for the advisory system.
Timeline
Undergraduate Student Researcher
New Jersey Institute Of Technology, NJIT
05.2023 - Current
Undergraduate Student Researcher
New Jersey Institute Of Technology, NJIT
09.2022 - 05.2023
Bachelor of Science - Computer Science
New Jersey Institute of Technology
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