Dharmendhar Pulakunta

Senior Machine Learning Engineer @ Credit Karma

About Dharmendhar Pulakunta

Dharmendhar Pulakunta is a Senior Machine Learning Engineer at Credit Karma, where he has worked since 2014. He has a background in computer science, with a Bachelor's degree from PES School of Engineering and a Master's degree from San Diego State University.

Work at Credit Karma

Dharmendhar Pulakunta has been employed at Credit Karma as a Senior Machine Learning Engineer since 2014. In this role, he has contributed to the development of the company's Recommendation System. His work includes implementing real-time model scoring and offer sorting based on model scores and business logic. His tenure at Credit Karma spans nearly a decade, during which he has gained extensive experience in machine learning applications within the financial technology sector.

Previous Experience

Prior to his current role, Dharmendhar Pulakunta held several internships and positions that contributed to his professional development. He worked as a Summer Intern at NetApp in 2013 for three months in Sunnyvale, where he gained experience in Perl scripting. In 2014, he interned at One Kings Lane for two months in the San Francisco Bay Area, where he worked with Ruby on Rails. Additionally, he served as a Software Engineer at Evolving Systems from 2009 to 2011 in Bangalore, India, accumulating two years of experience in software development.

Education and Expertise

Dharmendhar Pulakunta holds a Bachelor's degree in Computer Science from PES School of Engineering, where he studied from 2005 to 2009. He furthered his education by obtaining a Master's degree in Computer Science from San Diego State University, attending from 2012 to 2014. His academic background provides a strong foundation in computer science principles, which he applies in his professional work, particularly in machine learning and software engineering.

Technical Skills

Dharmendhar Pulakunta possesses a diverse skill set in programming languages and technologies. He is proficient in Ruby on Rails and Perl, as well as Java and Tibco. His experience with these languages supports his work in machine learning and software development, enabling him to contribute effectively to various projects throughout his career.

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