About

Amogh Ramaswamy is an experienced software engineer with a strong background in the information technology and services industry. He holds a Master of Science degree in Software Engineering from San Jose State University and is skilled in Golang, Python, NodeJS, Kubernetes, Helm, and AWS services. He is also familiar with MongoDB, rabbitmq, C, C++, SQL, Docker, Prometheus, and Grafana. Currently working as a Software Engineer III at Cisco, Amogh has previously held positions as a Software Engineer II and a Software Engineering Intern at the same company. During his time at Cisco, he was responsible for developing an end-to-end web application using NodeJS and Express to interact with REST APIs that query and analyze network data. He also used natural language processing for detecting intent and entities from user queries and maintained context within conversation. Additionally, he built a TensorFlow-based text classification model using Deep Neural Networks with Python and Flask and developed a skill registry form for users to develop and add new skills to the conversation service. He also developed a conversation service architecture from the ground up, which can be scaled up to solve much larger network problems through human-like conversations. Amogh's educational background includes a Bachelor of Engineering in Electronics and Communications Engineering from the College of Engineering and a Master of Science in Software Engineering from San Jose State University. He has also gained relevant experience in the field, with a total of 3.68 years of experience. Amogh's technical skills include software engineering, SQL, AWS, RabbitMQ, NodeJS, Kubernetes, Docker, MongoDB, Python, text classification, Golang, NLP, TensorFlow, neural networks, Flask, and web development. He is a strong engineering professional with a demonstrated history of working in the information technology and services industry.