Graduate Research Assistant (AI/ML) | MS in Computer Science | Ex-Kyndryl & IBM
Contact Me View ResumeGraduate Computer Science student and NSF Graduate Research Assistant at Auburn University at Montgomery (AUM). With over 2 years of professional software engineering and system administration experience at Kyndryl and IBM, I specialize in building machine learning architectures (Transformers, RAG, CNNs) and scalable data solutions. My work spans low-spectral imaging research, environmental AI modeling, and enterprise data solutions.
Conducting graduate research exploring physics-informed machine learning techniques to estimate parameters from low-spectral-resolution imaging data.
Collaborating on cross-disciplinary AI modeling utilizing Ozone datasets to analyze environmental patterns and predictive metrics.
May 2026 – Present
Conducting AI research on physics-informed neural network architectures and multi-disciplinary environmental datasets.
Oct 2025 – Feb 2026
Engineered Retrieval-Augmented Generation (RAG) pipelines and optimized domain-specific document search and context retrieval.
Jun 2023 – Jul 2024
Maintained Linux/Unix infrastructure supporting enterprise U.S. clients including American Airlines and Walgreens. Automated operational workflows using Python and Bash scripts.
Jan 2023 – Jun 2023
Completed intensive system administration training and supported enterprise Linux infrastructure environments.
Engineered context retrieval system using Vector Databases and LLM orchestration for automated technical documentation queries.
Undergraduate capstone project using deep convolutional neural networks (CNNs) to classify and detect lung cancer patterns from medical imaging data.
Holds certifications in Salesforce and Linux Administration. Continuously expanding expertise in PySpark optimization, RAG pipelines, and cloud data architecture.