About

Shubham Rao is a highly skilled Software Engineer at NimbleBox.ai with a keen interest in pursuing a career in Machine Learning Engineering. He has a strong background in computer science and engineering, with a Bachelor of Technology degree from SRM University. Shubham has also completed a Visiting Student program in Entrepreneurship and Technology from the University of California, Berkeley. As a Software Engineer at NimbleBox.ai, Shubham has demonstrated his proficiency in software development, engineering, and research. He has extensive experience in building, managing, and shipping end-to-end AI/ML projects. Shubham has been responsible for planning architecture, infrastructure, and writing and maintaining code (Software and IaC) for the offerings of NimbleBox.ai's MLOps platform. He has also performed code reviews of team members' code and deployed projects on Kubernetes (including custom k8s controllers) managed by IaC. Shubham's tech stack includes Golang and Python for backends, gRPC for communication, and deployment on Kubernetes. Shubham has also worked as a Deep Learning Engineer at NimbleBox.ai, where he developed and delivered webinars on Machine Learning, Data Science, and Basics of Deep Learning. He has also executed ML and DL related projects for partners and created notebook-based teaching and exercise notebooks for learners. Shubham's tech stack is extensive and includes Software Engineering, AI, ML, Deep Learning, Research Scientist, Kubernetes, Python, AWS, infra, Docker, Golang, TensorFlow, SQL, Keras, Terraform, Data Engineering, Big Data, test, Javascript, Data Scientist, Neural Networks, MySQL, Spring, Microservices, Flask, Pytorch, and GCP. With 1.95 years of relevant experience, Shubham is a highly motivated and skilled professional who is passionate about building and delivering end-to-end AI/ML projects. He is an excellent team player and has a proven track record of delivering high-quality work in a fast-paced environment.