As an AI Frameworks Intern at Intel, I contribute to the development and optimization of the PyTorch Framework bridge software stack for Intel’s AI accelerators and GPUs. My work focuses on building a robust, performant, and flexible software stack to support training and inference workloads, including large language models (LLMs). Collaborating with the AI Frameworks team, I leverage my expertise in machine learning and computing to enhance the performance and scalability of AI-driven solutions. This internship aligns with my passion for advancing innovative technologies in high-impact domains like AI, healthcare, and space. Pursuing an M.Tech in Machine Learning and Computing at the Indian Institute of Space Science and Technology (ISRO), Trivandrum, I bring a strong foundation in mathematics (MSc) and big data analytics (Postgraduate Diploma). My projects, including Process Mining for Bank Loans (20% faster processing), Cancer Survival Prediction, and Market Basket Analysis, reflect my commitment to solving real-world challenges through data-driven approaches.