MS in Artificial Intelligence @ Rochester Institute of Technology (GPA: 3.67/4.00)
Building industry-focused machine learning projects in time-series forecasting, computer vision, and predictive modeling.
Experience with classical ML and deep learning (ANN, CNN), with hands-on work in data preprocessing, model evaluation, and performance optimization.
Currently exploring Transformer-based models and real world ML systems, including RAG pipelines and scalable AI architectures.
Goal: Become an ML Engineer with strong foundations in both modeling and system design.
