About

Ankur Garg is a highly skilled software engineer with extensive experience in both front-end and back-end development. Currently working at Google as a Software Engineer, Ankur has previously worked at YouTube Kids as a backend developer. Ankur's experience includes working on open-source TEMOA Energy Model at North Carolina State University, where he managed the core code repository and the Django server hosting the application. He also restructured the code and improved runtime for UI visualizations by more than 70%, added the ability to generate new visualizations on the front end, automated the process of setting up the application on a new server, and improved the front-end interface. Ankur has also worked as a Data Science Intern at Sysomos, where he developed image classifiers and detectors using caffe-based deep neural networks for multiple categories. He improved the precision for two classifiers and one detector by almost 10-20% by identifying issues in data and classes and by improving the training parameters. Ankur also developed an Anomaly Detection system for an alert system product to detect anomalies in time-series data using HTM (Numenta) and generate meaningful alerts to be sent to customers using Kafka. Ankur has a Bachelor's Degree in Computer Science and Engineering from the Indian Institute of Technology, Delhi, and a Master of Science (M.S.) in Computer Science from North Carolina State University. He has a diverse technical skill set that includes software engineering, front-end and back-end development, research science, Django, UI, data science, testing, TensorFlow, neural networks, and Kafka. With almost 6 years of relevant experience, Ankur is a highly motivated and driven individual who is passionate about creating innovative solutions to complex problems.