M.S. in Computer Science at The George Washington University
August 2024 - May 2026 • Washington, D.C.
December 2020 - May 2024 • Bangalore, India
Trained and developed a Vision-Language Model to generate metaphorical interpretations from images, combining CNNs for image feature extraction and Transformer-based NLP models, integrating both visual and textual feature representations to analyze visual metaphors for multimodal metaphor detection.
June 2023 - December 2023 • Bangalore, India
Created a hybrid deep learning model combining BiLSTM, Transformer, and CNN architectures to estimate Remaining Useful Life of aircraft engines using NASA C-MAPSS dataset. Incorporated CBAM attention and transformer blocks for enhanced prediction accuracy.
A novel Multiple Instance Learning (MIL) based model architecture to classify surveillance video segments as anomalous or normal. Achieved an AUC of 0.9022, outperforming state-of-the-art models on the UCF-Crime dataset.
Retrieval-Augmented Generation (RAG) based diagnostic support tool using PubMed data and OpenAI API to suggest possible diseases based on patient symptoms, demographics, and medical history. Integrated Agentic AI for context-specific responses.
SSD-Mobilenet V1-based traffic monitoring system to detect, count, and classify vehicles in real-time. Implemented vehicle color and speed prediction, storing images of detected vehicles, and logging detection data to a CSV file.
Built and evaluated multiple machine learning models to predict customer churn using a telecom dataset. Applied feature engineering and preprocessing, and benchmarked classifiers including Logistic Regression, SVM, Decision Trees, Random Forest, Gradient Boosting, and ensemble methods.