Adarsh Hegde

Software Engineer @ Rally Health

About Adarsh Hegde

Adarsh Hegde is a Senior Software Engineer at Optum in Bengaluru, India, with a background in Computer Engineering and a Master's in Computer Science. He possesses extensive experience in software development, skilled in various programming languages and databases.

Work at Optum

Adarsh Hegde has been employed as a Senior Software Engineer at Optum since 2022. He works in a hybrid model from Bengaluru, Karnataka, India. In this role, he applies his skills in software development and engineering to contribute to various projects within the organization.

Work at Rally Health

Adarsh Hegde has served as a Software Engineer at Rally Health since 2019. During his tenure, he implemented three different authentication mechanisms, including SAML, Azure Active Directory, and LDAP, for a proxy web application. He has demonstrated the ability to meet tight deadlines while delivering high-quality solutions.

Education and Expertise

Adarsh Hegde holds a Bachelor of Engineering (B.E.) in Computer Engineering from the University of Mumbai, where he studied from 2010 to 2014. He furthered his education by obtaining a Master's in Computer Science from the University of Illinois Chicago, completing his studies in 2018. He also completed his ICSE at Smt Sulochanadevi Singhania School from 1996 to 2010.

Professional Experience

Adarsh has professional experience working with Xoriant Solutions Pvt. Ltd. in Mumbai, India. He also completed a software development internship at CUNA Mutual Group from 2018 to 2019. His experience spans various programming languages, including Java, JavaScript, Python, and C#, as well as proficiency in databases such as MySQL, Apache Cassandra, MongoDB, and Neo4J.

Technical Skills

Adarsh Hegde is skilled in using frameworks and APIs such as Spring, Hibernate, Jersey, JSP, Servlet, JDBC, and Javassist. He is proficient with tools and operating systems including Ant, Maven, Gradle, Windows, Linux, Git, JIRA, and LDAP. He actively engages in learning new technologies, particularly in Software Development and Machine Learning.

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