Internships that shaped how I think about research, plus the certifications that keep me learning.
Working on a research internship focused on Graph Neural Networks (GNNs), exploring their application to predictive modeling and structured data analysis.
Conducted a literature review and comparative study on anomaly detection for AIOps and industrial systems — covering saliency-based time-series anomaly detection, Variational Autoencoder-based anomaly detection for power grid supercomputing infrastructure, and deep learning-based machine vision methods for real-time industrial anomaly detection, along with geospatial analysis using QGIS.
An advanced certification covering generative AI concepts, applications, and responsible use — building on foundational ML and deep learning knowledge.