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Rajath Shetty has a diverse work experience in the field of software engineering and operations support.

In 2017, Rajath worked as a Software Engineer at EAutomaton Cognitive Sciences, where they were involved in developing a machine learning-based real-time software project for hospitals. Rajath utilized Random Forest algorithms to predict whether patients should opt for in-house diagnosis based on demographic details and various factors.

In 2019, Rajath joined RoundSqr as a Back End Developer. Rajath contributed to the development of Django views and REST APIs for a commercial Android application. This involved tasks such as user management and SMS gateway integration. The application was hosted on an AWS EC2 instance and utilized a MySQL database.

In 2020, Rajath had a fall internship at Jeeva Health.ai. During this time, they worked on building a chatbot and achieved a 90% increase in accuracy using a BERT model trained on a communication corpus. Rajath utilized libraries such as pandas, scikit, and huggingface.

Currently, Rajath is employed at Saviynt as an Operations Support Engineer. Rajath is part of the Support Operations team for the US Midwest Region, where they troubleshoot server-related issues, resolves bugs, and assists clients with major production changes to the Saviynt SSM application.

Rajath Shetty pursued their education in the field of Computer Science. Rajath completed their Bachelor of Engineering degree from Bangalore Institute of Technology from the year 2013 to 2017. Subsequently, they went on to pursue a Masters degree in Computer Science from UMass Boston, which lasted from 2019 to 2021.

In addition to their formal education, Rajath Shetty obtained a certification as a Certified Ethical Hacker from EC-Council in May 2017.