As a software engineer with a passion for Artificial Intelligence, I specialize in C, Python, and JavaScript, with extensive experience in Machine Learning, Deep Learning, and Computer Vision. I have a strong command of AI frameworks like PyTorch and TensorFlow, and databases such as MongoDB and MySQL. My expertise in statistics and data analysis allows me to derive meaningful insights from complex datasets, enabling the development of data-driven, scalable solutions that drive innovation.In addition to my technical skills, I have worked on projects such as fine-tuning the Phi3 medium model for subject-specific question generation using Transformer Reinforcement Learning (TRL) and Supervised Fine-tuning (SFT), as well as developing a Multi-Modal Retrieval-Augmented Generation (MMRAG) system for processing PDFs. This RAG system categorizes content and uses Chroma DB and GPT models for fast and accurate query retrieval across text and images. My toolkit includes Python, Flask, SQL, PyTorch, machine learning skills like regression, classification, unsupervised learning, model evaluation, feature engineering, natural language processing, transformers, and more. With a proven ability to adapt and collaborate, I’m eager to contribute to forward-thinking AI projects.