Deep Nayak is an experienced Applied Scientist with a passion for problem-solving, machine learning, and their integration with web development technologies. His journey began with a strong foundation in Computer Engineering, where he developed proficiency in technologies like MongoDB, ReactJS, NextJS, NodeJS, Flask, C++, SQL, and Python.Deep’s professional experience is marked by diverse roles that reflect his adaptability and technical depth. At Studypaq, he led the development of new features, managed backend and dev-ops setups, resolved critical memory leak issues, and implemented strategies to significantly reduce AWS costs. His internship at Amazon as an Applied Scientist focused on enhancing the BERT model, where he contributed to advancing natural language processing capabilities.Afterward, Deep joined Deutsche Bank as a Tech Analyst, where he spent a year designing monitoring systems to capture the flow of data through the bank's tightly interconnected systems. His work there was instrumental in ensuring the smooth operation of complex financial processes.Now, as an Applied Scientist at Amazon, Deep continues to explore new challenges, leveraging his broad skill set and commitment to innovation. He remains open to opportunities that allow him to grow and make meaningful contributions to the field.