Experience

Professional Experience

Jan 2023 - Present
Graduate Research Assistant - University of Florida Health

Prediction of COVID-19 clinical outcomes for specific subpopulations by developing a tailored predictive model using techniques like case-based reasoning, nearest neighbors prediction, and penalized regression. Utilizing the Julia programming language, the model leverages the advanced category-theoretic features available in the Algebraic Julia package collection, ensuring both computational efficiency and interpretation.

May 2023 - Aug 2023
Cloud Solutions Intern - ARM Inc

Developing the Cassandra infrastructure on AWS using Terraform and Ansible for performance benchmarking. Developing a web-based visualizer for Go’s garbage collector, enhancing the system’s memory management. Contributed in developing Ansible module that extend support of Nginx on Arm.

Mar 2022 - May 2022
Software Engineer Intern - AT&T India

Enhanced the AT&T website using Spring Boot and Java, resulting in improved UI and functionality. Optimized system performance by implementing a caching mechanism in a microservice architecture, boosting data retrieval speed.

Oct 2021 - Mar 2022
Software Engineer Intern - Axiom IO

For the client Nxtq Private Limited, I played a key role in creating a product that offers athletes insights for improved running motion. Designed the insights workflow using Python, ensured seamless integration of application components and managed the server deployment.

Aug 2021 - Oct 2021
DevOps Intern - TerraBlue XT

Architected the infrastructure design and maintained the highly resilient server infra on the AWS cloud following the industry best practices.

May 2020 - Sep 2020
Cloud & DevOps Engineer Intern - Aesthisia

As a DevOps Intern, I have provided the service in offering leverages collaboration, monitoring, tool-chain pipelines, automation, and cloud adoption to achieve higher efficiency, faster time to market, and better quality of software builds. I have worked on the DevOps stack of tools such as Docker, Kubernetes, Jenkins, Terraform and Git & GitHub and on the AWS Cloud Services.

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