About

Kushal Reddy Papakannu is a talented Software Development Engineer (SDE) at Amazon in Seattle with a strong background in computer science. He graduated with a 3.8 CGPA and is proficient in Java, Python, C#, and R. Kushal is an active contributor to QuizIT, a popular student learning tool developed in-house at ASU. His interests lie in computer vision, and he has gained experience in this field through his work as a Research Assistant at ASU. During his time at ASU, Kushal collaborated on building a topic modeling system using students' quiz reflections. This system increased student response and performance by 25% and inspired 70% of students to reflect in a more programmatic way. He also developed an interactive Augmented Reality application from scratch using Unity to capture students' emotions and achieved a State of the Art (SOTA) accuracy of 73% by training multiple deep neural network models on the FER2013+ dataset to detect facial emotion. Kushal developed a data collection procedure and methodology compliant with Human Subject Research protocols. Kushal has a Master of Science degree in Computer Science from Arizona State University and a Bachelor of Technology degree in Computer Science from SRM University. He has a diverse tech stack, including experience as a Software Engineer, Research Scientist, and proficiency in AWS, Javascript, NodeJS, MySQL, SQL, Sentiment Analysis, HDFS, ECS, Spark, CI/CD, Docker, Typescript, Pandas, Neural Networks, MongoDB, Hadoop, Kafka, Spring Boot, Flask, UI, Web, and Python. Kushal has 3.52 years of relevant experience and is a member of the CSI LAB.