Namkhang Le
Georgia Institute of Technology, Class of 2025
From Chantilly, VA
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Namkhang Le of Virginia Bch, Virginia, has earned a Bachelor of Science in Computer Science from the Georgia Institute of Technology in Atlanta. Le was among 6,660 undergraduate and graduate stud...
July, 31 2025 - Verified by Georgia Institute of TechnologyNamkhang Le of Chantilly, VA, made the Dean's List for the Spring 2024 semester at the Georgia Institute of Technology. This designation is awarded to undergraduate students who have earned a 3.0 o...
June, 18 2024 - Verified by Georgia Institute of TechnologyNamkhang Le of Chantilly, VA, made the Dean's List for the Fall 2023 semester at the Georgia Institute of Technology. This designation is awarded to undergraduate students who have earned a 3.0 or ...
February, 06 2024 - Verified by Georgia Institute of TechnologyNamkhang Le of Chantilly, VA, made the Dean's List for the Fall 2022 semester at the Georgia Institute of Technology. This designation is awarded to undergraduate students who have earned a 3.0 or ...
March, 17 2023 - Verified by Georgia Institute of Technology Led the 100% conversion of the entire front-end repository from Apache Log4J to Simple Logging Facade for Java, resulting in a 40% reduction in logging-related errors as well as a 15% increase in overall program performance.
Developed and maintained front-end software using Java and JavaFX resulting in a 15% decrease in user efficiency.
Implemented a real-time interface, resulting in a 25% increase in user engagement and a 65% deduction in errors. Led the 100% conversion of the entire front-end repository from Apache Log4J to Simple Logging Facade for Java, resulting in a 40% reduction in logging-related errors as well as a 15% increase in overall program performance. Developed and maintained front-end software using Java and JavaFX resulting in a 15% decrease in user efficiency. Implemented a real-time interface, resulting in a 25% increase in user engagement and a 65% reduction in errors.
Developed the Lockheed Martin Cognitive Mission Manager program, a cutting-edge AI-based system for real-time decision-making and mission planning in high-duress environments while receiving praise from stakeholders.
Headed a 4-person team of software and machine learning engineers in the implementation of advanced machine learning algorithms and natural language processing techniques, resulting in a 30% increase in mission efficiency.
Trained a 98% accurate machine learning algorithm through Kubeflow with PyTorch, TensorFlow, and Sentinel-2.


