I’m a Master’s student in Computer Science with a strong academic foundation and a passion for helping others learn. I graduated Cum Laude with a Bachelor of Science in Computer Science, earning Presidential Honors and Dean’s List recognition. My technical background includes Python, Java, SQL, and machine learning frameworks like TensorFlow, Keras, and Scikit-learn. I’ve applied these skills in diverse roles—from developing predictive models and mobile apps to leading NASA patent prototype...
I’m a Master’s student in Computer Science with a strong academic foundation and a passion for helping others learn. I graduated Cum Laude with a Bachelor of Science in Computer Science, earning Presidential Honors and Dean’s List recognition. My technical background includes Python, Java, SQL, and machine learning frameworks like TensorFlow, Keras, and Scikit-learn. I’ve applied these skills in diverse roles—from developing predictive models and mobile apps to leading NASA patent prototype development and publishing research in computer vision for HIV diagnostics. Beyond technical work, I’ve always found joy in helping others learn. As a Teaching Assistant and Graduate Assistant, I’ve supported students through grading, exam proctoring, and tutoring center operations. I’ve also mentored peers and junior students in lab settings, offering one-on-one help with programming, debugging, and concept review. These informal tutoring experiences have shaped my teaching style: patient, practical, and focused on building confidence through hands-on examples and clear explanations. Whether you're just starting out with Python or tackling Precalculus, I aim to create a supportive learning environment tailored to your goals. I believe in connecting theory to real-world applications—whether through coding exercises, data analysis, or machine learning projects—to make abstract concepts approachable and engaging. Let’s work together to strengthen your skills and help you succeed.
