About

Ramanan Ravikumar is a highly skilled Member of Technical Staff at Deepfence Inc with over 9 years of experience in product startups. He is an enthusiast in Big Data, NLP, and Machine Learning. Ramanan has a strong technical background in Python and Go, and he is proficient in Spark, Hadoop, and EMR. With his expertise in classification of topics and sentiment, he has developed NLP applications such as FB messenger chat bot, Amazon Alexa, Google assistant, GATE, and nltk. He has also worked on recommendation engines for product user similarity. Ramanan is well-versed in various databases such as Elasticsearch, MongoDb, Redis, MySQL, Cassandra, and Neo4j. He has experience in product design and architecture of various products. Currently, he is working at Deepfence, a patent-pending security platform that protects modern workloads running in VMs and containers from known and unknown threats, including zero-day attacks. He specifically focuses on detection and disruption of multivector and multistage attacks, vulnerabilities, and compliance violations, all at runtime. In his previous roles, Ramanan worked as a Data Engineer at ZyloTech, an MIT spin-off offering an award-winning A.I. powered customer analytics platform for omni-channel marketing operations. He contributed to product development, mentored and guided junior data engineers, and managed cloud servers and applications in Azure & AWS. He also worked as a Senior Software Engineer at Decirc, where he designed and developed three different products, built big data pipelines for event tracking of 1.2 million+ end-users, and implemented NLP models. Ramanan holds a Master of Science degree in Software Engineering from VIT. He is proficient in various technologies such as Neo4j, Big Data, AWS, product design, Data Engineering, Redis, Python, MySQL, MongoDB, Cassandra, Hadoop, infra, Apache Airflow, Pandas, ETL, Postgres, and Azure. With a relevant experience of 10.53 years, Ramanan is a valuable asset to any organization.