About

Shivanshu Dwivedi is an experienced Engineer with a strong background in product-based companies. He is currently pursuing a Master's degree in Computer Science with a specialization in Machine Learning from the Georgia Institute of Technology. Shivanshu holds a Bachelor's degree focused in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani. Shivanshu is a skilled Software Engineer with expertise in Spring Boot, Hibernate, NodeJS, Typescript, Java, Machine Learning, MongoDB, Redis, AWS, Docker, and Kubernetes. He has a documented record of successfully completing intricate projects to a high standard and has been acknowledged for his dedication, accountability, and ownership. He has relevant experience of 4.03 years and is actively looking for full-time SDE/ML roles for 2023. Currently, Shivanshu is working as a Software Engineer II - Machine Learning at Urban Company. He is a part of the matchmaking team, which is responsible for identifying the most suitable partner for customers who submit requests through the application. During his time at Urban Company, he has gained expertise in SpringBoot, Java, NodeJs, Typescript, Machine Learning, GoogLeNet, MongoDB, AWS, Redis, Kafka, RestFul Web services, Docker, and Kubernetes. He has worked on challenging assignments that demanded scalability and reliability. In the past, Shivanshu has worked at Samsung as a Software Engineer - Machine Learning, where he was a part of the SystemUI team. His responsibilities involved porting Android from an earlier version to a newer version and resolving issues with Samsung devices. He has resolved 500+ bugs during his tenure at Samsung and gained skills in Spring, Java, and Machine Learning. He filed an A2-grade patent after developing a tensorflow lite-based XGBoost model for detecting grip on mobile devices, significantly reducing the requirement for grip sensor hardware in Samsung mobile devices. He also developed and deployed a Random Forest classifier Machine learning model during a hackathon to efficiently route bug tickets to the right team, reducing manual tester effort and erroneous bug assignments. Shivanshu has also worked at Nucleus Software as a Software Engineer. He has a wide range of skills, including ML, AWS, Spring, Redis, Java, Kubernetes, Docker, Typescript, MongoDB, Spring Boot, Mobile, NodeJS, XGBoost, Random Forest, Kafka, Web, test, Research Scientist, Tensorflow, and Backend. Shivanshu