Shubham Maurya is a researcher and innovator in Artificial Intelligence, currently serving as a Senior Data Scientist at Mastercard’s Product Development. With nearly eight years of experience in machine learning, MLOps, and LLMOps, he specializes in developing scalable models and generative AI solutions. His work spans from foundational research to real-world applications, where he plays a crucial role in projects that enable near real-time inference and distributed model training. Additionally, Shubham has made significant contributions to AI optimization, notably with the "Owl Search Algorithm," a novel, nature-inspired heuristic approach to hyper-parameter tuning for global optimization. Currently, Shubham is focused on developing agentic solutions and researching advanced techniques for context document retrieval, with the goal of enhancing AI’s ability to process and utilize information more effectively.