Academic Experience As a graduate research student in Computer Science at Concordia University, I have focused on data science and generative models. My degree included Applied Artificial Intelligence and Representation Learning with Prof. Aaron Courville. My research centers on Diffusion Generative Models (DGMs) applied to medical imaging datasets, specifically investigating methods such as DDPM and Stable Diffusion to generate high-quality histopathology images and developing techniques to identify cancer biomarkers. I have demonstrated my leadership and teaching skills as a Teaching Assistant while working as a Research Assistant. Professional Experience I have gained valuable industry experience as a Generative AI Engineer at WordJog Inc, where I researched and fine-tuned Large Language Models (LLMs) for diverse use cases in finance, banking, retail, and automotive sectors. My work involved implementing several features through Langchain, a platform that leverages LLMs to generate natural language content. I developed industry-specific chatbots using models such as falcon-7b, GPT-3.5, 4 and created a Retrieval-Augmented Generation (RAG) application using ChromaDB for retail and financial company chatbots. I utilized TensorFlow and PyTorch for advanced machine learning model development and demonstrated proficiency in MATLAB for complex data analysis. Personal Note: I am deeply passionate about the potential of artificial intelligence to drive innovation and make a positive impact on society. My enthusiasm for generative models and data science stems from a genuine curiosity about how technology can be harnessed to solve complex problems. My personal goal is to continue learning, and give my 100% in whatever I do.