About

Aettapu Rahul is a highly skilled Software Development Engineer at Amazon Web Services (AWS) with over 2.6 years of relevant experience. Currently pursuing his Masters in Computer Science at North Carolina State University, Rahul is looking for opportunities to explore his interests in Machine Learning/data-driven analysis, Systems Programming, and core Software Engineering principles. Rahul is a proficient coder with expertise in Java, Python, C, MATLAB, and SQL. He has experience with PySpark, Pandas, Numpy, Scikit-learn, TensorFlow, Keras, Matplolib, and NLP tools like Stanford CoreNLP. In addition, he has technical working knowledge of AWS and Hadoop and is skilled in Systems Development, OS, and Infrastructure development. Rahul is highly experienced in analyzing, troubleshooting, and resolving user-reported issues. He is also familiar with Version Control Systems like Git and SVN. Rahul's past experience includes working as a Software Engineer at Cisco Systems, where he was involved in the maintenance of features like Online Board Failure Logging (OBFL) memory, Simple Network Management Protocol (SNMP), and provided defect fixes for on-going releases for Nexus 5600, Nexus 7000, Nexus 9000, and Nexus 2000 series switches. He was also part of initiatives like enabling Ethanalyzer tool and traffic generator functionality on Nexus 2000 switches. Prior to this, he worked as a Research Intern at Indian Institute of Information Technology, where he developed a Java Application using Spring and Hibernate frameworks to evaluate One-Word and Descriptive answers using NLP. He proposed an Evaluation metric for One-word answers by modifying the Edit-Distance algorithm based on spelling-mistakes. Evaluation of Descriptive answers was done using the match of keywords and proper sentence formation using NLP-parser dependencies. Rahul holds a Master's degree in Computer Science from North Carolina State University and a Bachelor's degree in Information Technology from IIIT. He also completed his High School education from Vijay Ratna Junior College. Rahul's tech stack includes Software Engineering, AWS, Web, SQL, NLP, Keras, Scikit, Java, ML, TensorFlow, Pandas, Hadoop, infra, Python, Spring, and Research Scientist.