At NCR Atleos, I modernized a platform through a .NET 6 migration, reducing vulnerabilities flagged by Xray, SonarQube, and Coverity by 80%. I also diagnosed and resolved more than 15 high-priority customer defects.
On my RAG-Based Document Q&A Assistant project, I built a pipeline that answers questions over custom documents using retrieved context. I implemented ingestion, chunking, and embeddings, and added a Flask interface that returns source passages for traceability.
My projects also include an LSTM-CNN system for classifying message content, a YOLOv8 object detection application, and a MobileNet model for detecting diabetic retinopathy. I hold an IBM AI Engineering Professional Certificate covering machine learning, deep learning, Generative AI, LLMs, and RAG.
