About Me

Summary

  • Experienced in developing Java spring cloud native applications that uses Schedulers, Message Queues, and caches in various cloud platforms, Distributed Environments.
  • Experienced in API Design, Development and Deployment with Swagger, Gateway Proxies etc.
  • Good knowledge of Java concepts, such as Object-Oriented Design and Development, Multi-Threading, Generics, Exception Handling, Collections, Lambda, Streams and Functional Programming in Java 7/8. Clean Code follower.

Certifications etc.

Google Cloud Platform Fundamentals, Oracle Certified Associate Java SE 8, Pivotal Cloud Foundry Developer 1.7, LPI – Linux Certified, Splunk Fundamentals.

Languages                               Java, Python, C++, C, Bash (script).

Frameworks           Spring Boot, Spring Cloud, Hibernate, Hadoop, Pig, Hive.

Tools/DB                   ElasticSearch, MSSQL, Oracle, SQLite, MongoDB, Tableau, MS Office Suite, MS Visio.

Web                      HTML, CSS, Bootstrap, Angular, Typescript.

Cache/ Queues     RabbitMQ, SQS, Redis, Jcache, Concurrent HashMaps.

Cloud platform     AWS, Pivotal Cloud Foundry, Mesos-Marathon, Docker.

Dev Tools             Maven, Jenkins, Splunk, Git, Artifactory, Swagger, SonarQube, Apigee, Postman, JMeter,

                              Rally, Docker, Marathon, Apigee, AppDynamics, NeoLoad, Eclipse, IntelliJ IDEA, Debugger.

Education

Central Michigan University – Mount Pleasant MI           – Master of Science, Computer Science.                                  GPA: 3.73

Anna University – India – Bachelor of Technology, Information Technology                                                                   GPA: 3.50

Projects

  • Password Manager- Android application to generate / store password based on user provided data.
  • News Aggregator Web Application on Platform and Infrastructure as a Service.
  • Alcohol abuse analysis on Twitter Data, Network Traffic Sniffer with Packet Flood Detection.
  • Android Based Home Automation system with Vision Surveillance Using Raspberry Pi.