About

Karthik Prabhu is a highly skilled software engineer with expertise in machine learning, software development, architecture and deployment, A/B testing, and NLP. He has a solid technical background and is proficient in various technologies such as Python, Flask, Spark, SQL (Oracle, MySQL), NoSQL (MongoDB, Cassandra), Docker, Apache Kafka Streaming, Apache Redis, Javascript (ReactJS), Azure, and AWS. Currently working as an SDE II at Amazon, Karthik has gained valuable experience in the industry and is known for his ability to deliver high-quality work. He is a quick learner and is always eager to take on new challenges. Karthik has also worked as a summer intern at kpoint technologies, where he was involved in the CouchDB-D3 Integration project. He developed a data visualization library that helps users include it in their web applications to achieve user-defined visualization of data stored in their CouchDB database. He used various technologies such as CouchDB, Python Flask, Python, PHP, HTML, Javascript, CSS, JQuery, and D3.js library. Before his current role, Karthik worked as a project intern at Persistent Systems, where he gained experience in software development. He also worked as a Software Development Engineer at Mediaocean, where he developed features (REST APIs using Java/Python) for invoices related to media buying and selling. He automated workflows between agencies and Demand Side Platforms (DSPs) to facilitate management, reporting, and reconciliation of all direct and programmatic campaigns. He also created a data pipeline to ingest Nielsen TV viewership data (in the order of tens of GBs) in the United States into the company's master data systems for analysis, resulting in an improvement of revenue for major Publishers by an average of 4%. Karthik has a Master of Business Administration (MBA) from Indian Institute of Technology, Kharagpur, and a Bachelor of Engineering (B.E.) in Computer Engineering from Vishwakarma Institute of Technology. His tech stack includes Software Engineer, ML, AWS, SQL, NLP, Web, Azure, Redis, Python, Docker, MongoDB, Spark, NoSQL, Cassandra, Kafka, Data Scientist, MySQL, Flask, Javascript, Random Forest, Frontend, Backend, Java, Search, ReactJS, Big Data, Research Scientist, Spring, Information Retrieval, Blockchain, and Databricks. With 6.12 years of relevant experience