Understanding of computer networks, microprocessors, and parallel programming concepts
Knowledge of Python, Java, C, HTML, CSS, and JavaScript for technical tasks and problem-solving
Applied statistical analysis (ANOVA, regression) in psychology projects using SPSS
Familiar with POS systems and agile workflows, adaptable to fast-paced environments
Coursework in Artificial Intelligence, including neural networks and algorithm design
Excellent communication and collaboration skills, developed through cross-functional roles in tech support, retail, and volunteer work
Lionfish Detection with VGG19/Xception | Python, TensorFlow
· Achieved 92% precision identifying invasive species by fine-tuning CNN models
· Preprocessed 500+ underwater images using OpenCV
Parallel Algorithm Optimization | C++/Python
· Implemented parallel computing solutions for multiplication table operations using OpenMP
· Implemented divide-and-conquer merging of sorted arrays
Cognitive Neuroscience / Psychology Researcher
Wilfrid Laurier University | 2023-2025
· Designed and executed experimental psychology studies using EEG and behavioral measures
· Designed and executed EEG/behavioral studies (novelty detection, Iowa Gambling Task, skin conductance)
· Analyzed neural correlates of attention (P300), decision-making, and sensory-motor integration.
· Performed statistical analysis (SPSS: ANOVA, regression) and interpreted results for studies on ADHD working memory, attention-performance links, and learning mechanisms.
· Authored reports summarizing findings, methodologies (event-related potentials, behavioral measures), and theoretical implications.