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Deep learning engineer focused on building intelligent agents and deploying large language models (LLMs) from scratch as well as leveraging pretrained architect
collection of custom system call implementations for the xv6 operating system. Includes modifications, new calls, and test cases to explore process management, file system operations, and kernel-us…
This project presents a deep learning-based approach for detecting deepfake videos using Vision Transformers. The model is trained and evaluated on the Celeb-DF-v2 dataset and achieves state-of-the…
This repository contains the code and resources for our project on applying adaptive Radial Basis Function (RBF) networks to improve feature selection and reward approximation in Inverse Reinforcem…