About

Sanya Chaba is a highly skilled Software Development Engineer at Amazon with over 4 years of relevant experience in the field. She holds a Master's degree in Computer Science from the Georgia Institute of Technology and a Bachelor's degree in Computer Engineering from the National Institute of Technology Kurukshetra. Sanya has a diverse skill set that includes software engineering, research, and infrastructure. She has worked on various projects during her time at the Georgia Institute of Technology, including dependency preserving data reduction of system call graphs for Big Data Security Analysis and improving accuracy of Android malware detection with lightweight contextual awareness. She also collected a massive dataset of ~100k malicious APKs to create a new gold-standard malware dataset, which she optimized using indexing and other SQL-based concepts. Sanya implemented static analysis on the new dataset using MaMaDroid and evaluated different classification algorithms to compare performance of malware detection. She also implemented unsupervised learning like KMeans on the dataset to better understand the data distribution and detect patterns. During her time at ARRIS, Sanya worked as a Summer Intern - Consumer Premises Equipment where she added the infrastructure to support a new Management Information Base (MIB) and developed new IPv4 MIBs for the ARRIS modems. She also proposed and implemented new IPv6 MIBs for the latest release of ARRIS modems and updated the GUI for modem firmware designed for retail partners. Sanya's technical skills include software engineering, research, infra, Android, SQL, and Big Data. She is a highly motivated and skilled individual who is passionate about technology and its applications. She is always looking for new challenges and opportunities to grow and develop her skills further.