Photo of Ramya Govindaraj

My name is Ramya Govindaraj

I am currently pursuing my masters in Computer Science at Portland State University. Before masters, I was working as a Software Engineer in multinational companies as a Python application developer. I have worked especially in developing web apps, including Client engagement, Requirement analysis, Development, and Functional testing. I have started my hands working with frontend technologies and that would eventually help me to become full stack developer. And My hobbies are sketching, portrait and cooking.

Education

Portland State University

Masters in Computer Science, September-2022 to present

Expected Graduation: April-2024

Anna University

Bachelors in Information Technology, 2013-17

GPA: 3.86/4.0

Work

  • Akamai Technologies Privated Limited

    Software Engineer II

    November 2019 - September 2022

  • Xoriant Solutions Privated Limited

    Software Engineer

    June 2017 - November 2019

Projects

Logo of Enhanced Proxy detection project
  • Developed IP address removal and transformation of a larger dataset feature using the radix tree
  • Developed data pipelines and workflows using Airflow
  • Designed and integrated Netarch endpoints to make available for processing IP addresses
  • Developed and efficient solution to process different proxy B IP list and Netarch using radix tree and multithreading
  • Worked with panda python library to handle large dataset

Logo of snappyflow project
  • Responsibility ranging from requirement gathering, designing and implementing REST APIs, backend modules using Python microservices with Django REST framework
  • Developed a controller microservice to control/manage plugins using Django Framework
  • Monitoring several metrics that are collected by plugins using various different services
  • Developed a rich set of plugins to collect metrics for services and servers which are running in containers using collectd and fluentd.

Logo of Ace-FMAT publisher project
  • Implemented REST APIs and Airflow DAGs workflow that supports different policies activation, deletion and cleanup using Flask framework
  • Designed and developed request queuing workflow to avoid congestion in processing large number of requests using scheduling algorithm
  • Supported several other service components that activates policies, update policy and delte policies
  • Implemented roubin robin technique to avoid congestion in scheduling the policy workflow

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