About

Shubham Jayawant is a highly skilled Software Development Engineer at Amazon with over 4 years of experience in the field. He specializes in working with large-scale databases and solving algorithmic problems. Shubham is also a machine learning enthusiast with a keen interest in current industry trends and theoretical concepts. He has completed various courses offered by Northeastern University that have helped him understand the fundamentals of the field and grow his interests in deep learning and robotics. Aside from his work, Shubham is passionate about sharing his knowledge with others and making the world a fun place to live in through computer applications. He is an avid blogger and enjoys writing about interesting concepts related to his field. His blog, Quartifex, is a testament to his expertise and passion for software development. Shubham has a diverse work history that includes positions as a Teaching Assistant at Northeastern University and a Cloud Software Engineer at New York Life Insurance Company. In his role at New York Life, he delivered an AWS hosted ETL tool using Python & Django REST Framework that increased consumer’s client base by 10 times. He also improved data parsing and processing mechanisms for dataframes larger than CPU memory by making use of Dask. Shubham enhanced data processing mechanisms by introducing parallel ETL pipelines implemented using Celery, Redis, and RabbitMQ. He assembled a prototype for a workflow management tool leveraging Python, Neo4j, Redis & Flask and deployed it over AWS. Shubham holds a Master of Science degree in Computer Science from Northeastern University and a Bachelor's degree in Information Technology from K J Somaiya College of Engineering. He has an extensive tech stack that includes Software Engineering, Deep Learning, ML, AWS, Redis, Python, ETL, Neo4j, RabbitMQ, Django, and Flask. With his eyes wide open for new things, Shubham is continuously working towards accomplishing his dream of making the world a fun place to live in through his work.