Rayan Dasoriya

Software Engineer III

• Developing a MySQL plugin to reduce the number of OOMs by dynamically updating database configs
• Increased throughput(+9%) and decreased latency(-11%) in MySQL by extending Innodb buffer pool
• Automated the process to provide new versions of MySQL(5.7/8.0) to the end-users with less hassle
• Identified and fixed MySQL community bugs to ensure a better customer experience on the platform
• Added utilities and monitoring tools for engineers to debug performance issues in the MySQL instance
• Led the design and development of an open-source Policy Manager in the Container-Optimized OS which helps the user to manage VM features using metadata tags
• Managed the migration of public containers from a single-region Container Registry to a multi-region Artifact Registry to avoid the impact of zonal outages
• Upgraded the Gentoo packages in the OS to the latest version providing new features and fixes
• Reduced test flakiness by 37%, improving developer's reliability on build and test infrastructure
• Participated in weekly on-call, security, and infrastructure rotations to manage any assigned issues

Software Engineer

• Managed the transformation of a legacy system handling millions of requests in a day to a cloud-centric system
• Designed an infrastructure to facilitate a realtime and seamless flow of sales data through Kafka, Spark and Elasticsearch
• Primary engineer for integrating a backend microservice to securely store credentials in Hashicorp Vault and create a timely backup in 1Password
• Designed serverless event-driven error handling pipeline using Node.js, Redis, and Slack
• Developed a rule manager in Python to update multiple transformation rules in Apache Ignite
• Implemented CI/CD pipeline to automate build, test, and deploy data streaming application using helm secrets, Tekton, and Argo CD to enable multi-cluster deployment
• Automated 14 hours of manual weekly work using Ansible scripts
• Managed infrastructure configuration using Terraform in production-based Kubernetes cluster

Software Developer Intern

• Created a custom Watson score calculator for all the cases on Cognitive Support Platform to improve the interaction of the support agents by prioritizing the severe cases
• Managed transformation of a monolithic architecture into microservices for Kubernetes Deployment on OpenShift
• Designed a real-time monitoring dashboard and alert notifications for IBM Cloud Kubernetes Service
• Completed the existing CI/CD pipeline by designing an automation UI testing module, which replaces at least 600 hours of manual testing per annum, using NodeJS and Selenium

Software Engineer Intern

• Developed multiple websites in a team of 4 from scratch for different clients based on their requirements
• Worked on live servers, server-side scripting and front-end web development
• Organized meeting with the stakeholders to gather the requirements and provided them the wireframes by doing iterative development

North Carolina State University, USA

GPA: 4

A Novel Approach for Data Management over Cloud

Developed an efficient model for storing and retrieving files over the cloud using a data-centric approach. This management of files promises a better access speed (upload and download) from the local machine to the cloud and vice versa.

Use of Optimized Genetic Algorithm for Software Testing

This paper demonstrates an algorithm that can be applied to both black box and white box testing to get some of the best test cases rather than selecting all the parts using a Genetic Algorithm.

The Uncertain Future of Artificial Intelligence

This paper explains different advancements, benefits, and injuries caused or can be created to the society which is also our principal contribution towards the subject. It also tells why the future of Artificial Intelligence, despite having advantages, remains uncertain.

A Novel Approach for Data Management over Cloud

developed an efficient model for storing and retrieving files over the cloud using a data-centric approach. This management of files promises a better access speed (upload and download) from the local machine to the cloud and vice versa.

Advancements in Data Analytics using Big Data and Cloud Computing

This paper shows the advancements done in the field of Data Analytics with Cloud Computing and Big Data, and also proposes a scheme for making Big Data Analytics more accurate, efficient and beneficial to the cloud environment.

Significance of Software Development Models

This paper discusses various models on different metrics with the pros and cons of each of them and also helps us select an appropriate model depending on the project.

A Review of Big Data Analytics over Cloud

This paper proposes a scheme for making Big Data Analytics more accurate, efficient, and beneficial. It also includes MapReduce Algorithm which will help in maintaining a log of user’s activities in the cloud and show the frequently used services.

IEEE International Conference on Networks & Advances in Computational Technologies (NetACT)

This paper proposes a dynamic load balancing algorithm that will assign load to the servers depending on the type of content it possesses.