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Namkhang Le

Majored in Computer Science, Minored in Artificial Intelligence
Georgia Institute of Technology, Class of 2025
From Chantilly, VA
Hey there, I'm Namkhang Le About to graduate with a Bachelor of Science in Computer Science, focusing on Intelligence and Information Internetworks. (Expected May 2025) Born and raised in Northern Virginia, I'm driven by a fervor for learning and implementing Machine Learning models and scalable software solutions that can optimize your business. Over the course of my career, Ive developed expertise in designing and implementing impactful technical solutions. At Amazon Web Services, I engineered a Java and Spring-based communication service to automate 10+ Government Cloud email notifications daily, seamlessly integrating 3 native AWS packages. By redesigning a legacy email system into a scalable, microservices architecture using AWS SWF, SNS, and SQS, I ensured a processing rate of 5+ TPS with autoscaling and redundancy. Additionally, I created a 1st place-winning Amazon Bedrock-powered AI onboarding buddy, fine-tuned on internal documentation, to streamline new hire ramp-up processes across the organization. My experience at Citi as a Full Stack Developer intern taught me how to build robust web applications with Angular and Spring Boot while optimizing data flow and authentication mechanisms. I also worked at Lockheed Martin, modernizing user interfaces with JavaFX and managing Agile workflows using Jira and Jenkins. Beyond internships, I conducted data-driven projects, such as analyzing global temperature fluctuations' effects on GDP for eight major countries using Python and Tableau. Aspiring AI Machine Learning Engineer, with the ambition to develop cutting-edge neural networks. My ultimate goal is to work alongside a diverse team of engineers to solve real-world challenges through innovative solutions. Outside of work, youll often find me playing volleyball on the beach or unwinding at the gym. My technical strengths include proficiency in Java, Python, TypeScript, JavaScript, R, and C#. My toolkit spans frameworks like Spring Boot and Angular, DevOps tools like Jenkins and Docker, and data analysis with Pandas and Tableau. Im well-versed in Agile methodologies and CI/CD processes, with hands-on experience in tools like Jira, Git, and Postman. I specialize in creating scalable architectures and leveraging ML to transform complex datasets into actionable insights. Lets connect and create impactful solutions together! Feel free to reach out.
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Namkhang Le Receives Degree From Georgia Tech

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 Technology
Namkhang Le Named to Dean's List at Georgia Tech for the Spring 2024 Semester

Namkhang 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 Technology
Namkhang Le Named to Dean's List at Georgia Tech for the Fall 2023 Semester

Namkhang 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 Technology
Namkhang Le Named to Dean's List at Georgia Tech for the Fall 2022 Semester

Namkhang 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
Software Engineering Intern at Lockheed Martin

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.

May 2022 - August 2022
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