Shivangi Singh

Working on 2 research projects: 1) Machine Learning research project to resolve similar entities in 2 different Knowledge graphs using clustering algorithms. Visualizing high-dimensional datasets using Principal Component Analysis and t-SNE in Python. 2) Computer Vision project to detect features (tumors) in liver images using deep learning techniques to assist surgeons. Replacing the existing ORB feature detection method with state-of-the-art Deep learning algorithms like Superpoint using PyTorch.

Developing AR application from scratch for Hololens1 Using C#, Unity, Mixed Reality Toolkit in Visual Studio

TUM.ai is a student initiative from TU Munich focusing on projects, events and hackathons around Artificial Intelligence.Together with other members of the Makeathon Department, I ensure that AI is fun and accessible to people across all domains.

Working on Porsche AG's Innovation Lab on the topic of Development 3.0 as a part of Femtec's Scholarship Programme.

1) Worked in an agile environment as a Java Developer and built features using Springboot and micro-services. 2) Implemented 3 node cluster in Neo4j Graph Database for load balancing. 3) Configured Prometheus for monitoring instances of microservices running on 3 different clusters. 4) Worked with PostgreSQL, Docker, Jenkins.

Worked in the development team for minor and major application upgrades in Java.

Machine Learning Computer Vision Digitization and Data Analytics Knowledge Graphs

Operating System Concepts OOPs with C++ Programming Database Technologies Algorithm & Data Structures Java Technologies Software Application Development

Basic Embedded Systems Microprocessors and Microcontrollers Electronic Circuits