Hari Krishna M
About Hari Krishna M
Hari Krishna M is a co-founder of Param.ai and has extensive experience in talent acquisition and recruitment technology. He has previously held significant roles at Amazon, UnitedHealth Group, and Oracle, and has developed innovative systems to enhance candidate discovery and engagement.
Work at Param.ai
Currently, Hari Krishna M serves as a Co-Founder at Param.ai, a role he has held since 2017. In this position, he focuses on developing innovative solutions in the field of talent acquisition and candidate engagement. His work includes implementing advanced algorithms and automation processes to enhance hiring efficiency.
Previous Experience at Amazon
Hari Krishna M worked at Amazon in two roles as a Recruiting Manager. He served as Recruiting Manager II from 2013 to 2015 for a duration of two years, followed by a role as Recruiting Manager III for seven months in 2015. His responsibilities included overseeing recruitment strategies and improving candidate engagement in the Hyderabad Area.
Education and Expertise
Hari Krishna M earned his MBA from Visvesvaraya Technological University, completing his studies from 2001 to 2003. His educational background provides a foundation for his expertise in talent acquisition and recruitment strategies, which he has applied throughout his career.
Career Background
Hari Krishna M has a diverse career in recruitment and talent acquisition. He began as a Recruiter at MAH India from 2003 to 2004, followed by roles at Oracle India as a Technical Recruiter from 2006 to 2008, and at IBM as Skill Lead from 2008 to 2010. He then worked at UnitedHealth Group as Manager - Talent Acquisition from 2010 to 2013 before joining Amazon.
Achievements in Recruitment Technology
Throughout his career, Hari Krishna M has developed several innovative systems to enhance recruitment processes. He created a talent intelligence platform that utilizes smart algorithms for candidate discovery and engagement. Additionally, he implemented features for continuous matching of candidates to job requirements and introduced data-backed decision-making through Talent Analytics.