About

Naman Agrawal is an experienced Software Engineer with a strong background in designing and developing large-scale backend systems. With 3 years of experience at Cisco, he focused on network security and software development for the Technical Services group. Naman holds a Master’s Degree in Big Data and Distributed Systems & Machine Learning from the University of Wisconsin-Madison. Currently working as a Software Engineer at Snapchat, Naman is responsible for building backend services to support various use cases around appliance telemetry data. He is passionate about developing massively scalable services to solve hard and interesting engineering problems. Naman's technical skills include Java, Spring Boot, Robot framework, Python, Memcache, Redis, MongoDB, MySQL, RabbitMQ, Kafka, ElasticSearch, Logstash, Kibana, Docker, Kubernetes, AWS, Hadoop, Spark, Spark Streaming, Storm, Tensorflow, and Scikit-learn. In his previous role at Veritas, Naman was part of the Data Analytics & Insights group, where he developed an Async Task Management framework to manage long-running tasks, and developed backend features for Veritas NetInsights Portal, which provides actionable insights to customers based on telemetry data. He also designed and developed a highly scalable Event Processor service that aggregates incoming events to show event journey on UI, transforms data, and adds metadata to the aggregated documents to support efficient retrieval from the database by leveraging indexes. Additionally, he developed the Cluster Manager service that builds the cluster node map for Veritas scale-out and HA appliances. Naman also has experience as a Software Engineer Intern at Veritas, where he built a vagrant image that provides out-of-box local CI/CD pipeline with a local git service, docker, and a Jenkins server with pre-configured web-hooks that help developers with local testing of code and DIY labs. He also worked on the Cloud-Custodian project to enforce security on AWS resources via lambda functions and CloudWatch rules. Naman's education history includes a Master’s Degree in Computer Science from the University of Wisconsin-Madison and a Bachelor's Degree in Computer Science & Engineering from VIT. With 8.53 years of relevant experience, Naman is a strong engineering professional with a focus on backend development, AWS, Spark, RabbitMQ, Kubernetes, MySQL, MongoDB, Elastic Search, Spring Boot, MemCache, Python, Scikit, Java, Docker, Big Data, Redis, ML, Tensorflow, Hadoop, Kafka, Spring, UI