About

Melvin Abraham is a highly skilled Software Development Engineer with over 3 years of experience in the field. He is currently working at Audible, an Amazon company, as a Full Stack Engineer on the Library team. Melvin has a Computer Science degree from Arizona State University and has a strong understanding of various programming languages such as Java, Python, C++, C, and jQuery. Melvin has extensive experience in building MicroServices using Java and Amazon Web Services, as well as mobile and desktop frontend using Javascript and JSP. He is also proficient in using various web and tools such as Spring, HTML, CSS, Bootstrap, AWS SQS, AWS DynamoDB, AWS Elasticsearch, AWS Kibana, AWS Lambda, git, JUnit, Mockito, Jackson, REST API Development, JSLT, and Postman. Melvin is an active contributor on Github and has a repository of his work available at https://github.com/melvinabraham. Melvin has completed a range of relevant coursework during his academic career, including Artificial Intelligence, Data Mining, Data Visualization, Foundations of Algorithms, Mobile Computing, Software Security, Data Structures & Algorithms, Operating Systems, NLP, Compilers, Android App Dev, Databases, Software Engg, and Big Data. In his current role, Melvin is responsible for creating a full stack application using React, Spring MVC, Amazon Web Services, ElasticSearch, and Kibana to monitor purchases, refunds, and various other events. He has successfully detected and banned fraud accounts by detecting purchase patterns and designed a custom frontend with the ability to query logs by accessing Elasticsearch through REST API’s which improved the efficiency of error resolution by 25%. Melvin has previously worked as a Software Development Engineer at Amazon, where he worked on the Library team at Audible, building MicroServices using Java, Amazon Web Services, as well as mobile and desktop frontend using Javascript and JSP. He has owned the design and end-to-end implementation of a customer-facing system building upon AWS DynamoDB, Elasticsearch, and Lambda and has contributed to test-driven development in an agile working environment with unit and Integration Testing using various internal frameworks as well as JUnit and Mockito. Melvin has also served as the scrum lead for the team and led agile various processes including sprint grooming, retro as well as planning for upcoming sprints / PIs. Melvin's technical expertise includes Software Engineering, AWS, Web, Elastic Search, Javascript, Mobile, Java, Spring