As a data scientist at LTIMindtree, I apply my expertise in large language models (LLM) to design and develop innovative solutions for various business problems. I work with a team of talented professionals to leverage the latest technologies and frameworks, such as Azure Kubernetes Service (AKS), to deliver scalable and robust applications. I have more than two years of experience in machine learning engineering, having worked at Quantiphi, where I built real-time video AI applications using NVIDIA tools and platforms. I also hold multiple certifications from AWS, NVIDIA, and Databricks, which demonstrate my proficiency and passion for learning new skills and staying updated with the industry trends. I have a Bachelor of Technology degree in Extc from SVKM's Narsee Monjee Institute of Management Studies (NMIMS), where I acquired a strong foundation in engineering and communication. My core competencies include solution architecture, data analysis, natural language processing, computer vision, and deep learning. My mission is to use my skills and knowledge to create impactful and meaningful solutions that can enhance the lives and businesses of people and organizations. I am always eager to take on new challenges and collaborate with diverse and dynamic teams.