About

Sankalp Shubham is a highly motivated and skilled 4th-year undergraduate pursuing a Bachelor's degree in Computer and Communication engineering at Manipal Institute of Technology. He is currently interning as a Software Engineer at Juniper Networks, where he is working on a microservices project. Sankalp has a strong interest in both frontend and backend development, and has experience working with the MERN stack. He is also proficient in C++, Python, and Java, and has a good understanding of core CS fundamentals. Additionally, he is interested in cloud computing, algorithms, and deep learning. He has implemented deep learning models using Pytorch and is fascinated by the idea of deep learning becoming a part of software engineering. Sankalp is also involved in competitive programming on platforms like Codechef and Codeforces. He enjoys solving both smaller duration problems, such as algorithmic challenges, as well as longer duration problems, such as development-related projects and deep learning problems. He is constantly learning new skills and gaining knowledge through reading and podcasts. Aside from his technical skills, Sankalp is interested in developing critical thinking skills and learning about psychology and neuroscience. He enjoys playing PC video games and has recently picked up chess. Sankalp has previously worked as a Research Intern at Manipal Institute of Technology, where he implemented a hierarchical word and character level model to predict semantic relationships between a (question, relation, subject) triple from a knowledge graph. He achieved an accuracy of 78% on 5621 test samples of WikiDataSimpleQuestions dataset. Overall, Sankalp is a highly skilled and motivated individual with a passion for software engineering, deep learning, and problem-solving. He is always eager to learn and grow, and is open to new opportunities in the field.