Computer Science Graduate from Vanderbilt University

Computer Science M.S. graduate from Vanderbilt University with expertise in software engineering, machine learning, and full-stack development. Experienced in building scalable applications, API development, and interdisciplinary software solutions. Designed and built proprietary software that is now in the patent process. SKILLS: Programming Languages: Python, Java, R, SQL, JavaScript, MATLAB, C#, HTML/CSS, Go, PHP Machine Learning & AI: Classical ML (regression, SVM, decision trees, random forests); Neural Networks & Deep Learning (CNNs, RNNs/LSTMs, transformers, attention mechanisms, autoencoders, ResNet); Computer Vision (segmentation, object detection, eye/face tracking); NLP (text preprocessing, sentiment analysis, classification); Reinforcement Learning; Sequential Models (HMMs); Applied ML hyperparameter tuning, model evaluation, fairness & bias); TensorFlow, PyTorch, scikit-learn, Keras Data Science & Analysis: Statistical modeling, experimental design, data cleaning and transformation, dimensionality reduction (PCA, UMAP), Bayesian statistics, data visualization, scientific communication; pandas, NumPy, SciPy Development & Tools: Git, Docker, CI/CD, Flask, .NET, Node.js, React, Azure, API integration, software engineering practices (Agile, Scrum, Jira), technical writing Databases & Systems: MySQL, Oracle, EPIC; schema design, queries, stored procedures, database management Specialized Applications: Computational neuroscience, medical data analysis, bioinformatics, human-computer interaction, IoT development (Raspberry Pi, Internet of Medical Things), ROS