About

Shubham Sharma is a highly skilled Data Scientist, Machine Learning Engineer, NLP Developer, and Team Lead with 3 years of full-time work experience. He has a strong focus on research and development of end-to-end natural language based machine learning systems and deep learning applications. Shubham is interested in approaching machine learning problems with a research focus, productizing ML packages, and developing large scale systems to cater to real-world problems. He also leads a team of ML & research engineers, demonstrating excellent leadership and management skills. Currently, Shubham is working as a Senior Machine Learning Engineer at zuma, where he is responsible for building up the operations pipeline and ML infrastructure using AWS, DVC, Kubernetes, and other relevant technologies. In his previous role as a Senior Machine Learning Engineer at salesken, he managed, developed, and optimized machine learning projects. He also has hands-on experience with Google Cloud Platform for deployment and scalability. Shubham holds a degree in Computer Science from Visvesvaraya Technological University, where he completed his education in 2018. He has a vast array of technical skills, including ML, Research Scientist, NLP, Data Scientist, AWS, Kubernetes, Deep Learning, Search, infra, AI, Web, Javascript, Tensorflow, Elastic Search, GCP, Keras, Neo4j, Seaborn, Python, Scikit, test, Docker, Pandas, MySQL, Flask, Postgres, Pytorch, C++, and Java. Shubham has a relevant experience of 4.53 years, during which he has developed a strong understanding of the latest advancements in machine learning and deep learning. He is a highly motivated individual who is always looking for new challenges to enhance his skills and knowledge. When not working, Shubham enjoys cycling and staying active.