John Le Email & Phone Number

Denver, CO, US

Collaborated with cross-functional teams to develop AI-driven applications using large language models (LLMs) and machine learning. Worked on integrating GenAI technologies like ChatGPT API, optimizing data pipelines, and contributing to front-end and back-end development. Gained hands-on experience in AI product development.Commanded the front-end.

• Nasa Mars Rover Path-Finding Team
• Engineered a Mars Rover simulation with a team, creating a realistic model that navigates Martian terrain using an A* Search algorithm with Manhattan heuristics, achieving 30-50% faster performance and up to 50% lower.
• Established weekly strategic meetings with all project stakeholders, successfully integrating adaptive navigation using Digital Elevation Models, resulting in a dynamic, interactive Martian map and improving.

• Contributed significantly to a website redesign project focused on enhancing accessibility, strategically implementing HTML and CSS modifications to optimize user experience for individuals with visual or hearing.
• Achieved substantial improvements in the website's accessibility compliance, facilitating a more navigable and interactive environment for all users, particularly those utilizing assistive technologies.

• Created and tested AI players using Minimax and Alpha-Beta pruning algorithms, implementing a robust utility function to evaluate game states and make optimal moves.
• Achieved a significant quantitative improvement, by demonstrating a 75% reduction in computation time with Alpha-Beta pruning over Minimax, while maintaining a 98-100% win rate against random players, highlighting the.

• Developed and implemented classification models using logistic regression, random forests, support vector machines, and gradient boosting to predict student dropout and success rates based on academic path.
• Achieved a 30% increase in overall prediction accuracy, a 40% boost in F1-score for minority classes, and a 50% reduction in model training time by implementing feature engineering, hyperparameter tuning, SMOTE for.

• Developed an object-oriented 'Go Fish' game, incorporating sophisticated design patterns such as singleton, factory, and strategy to enhance functionality and user experience.
• Achieved a 100% completion rate of planned features, excluding the web version, with a successful implementation of all design patterns and user account functionalities, resulting in a robust and fully functional game.