Chandra Kanive, MS, MBA

Chandra Kanive, MS, MBA, has extensive work experience in leadership roles in technology and software companies.

Currently, Chandra is serving as the Chief Product & Technology Officer at HuLoop Automation, where they oversee the development of an AI-Powered, No-Code Intelligent Automation Platform.

Prior to this, Chandra held the position of Senior Vice President Of Engineering at Pendella in 2022.

From 2021 to 2022, they worked as the Chief Product & Operations Officer at Rabble Health, where they led product management and engineering teams and drove company-wide operations in the digital health sector.

From 2018 to 2020, Chandra served as the Vice President at Limelight Health, leading software services, product, and engineering teams in automation and plan distribution for insurance carriers and employee benefit brokerage firms.

In 2016 and 2018, they worked as the Vice President at Model N, leading enterprise software implementations and product management in cloud/SaaS pricing and revenue management solutions for various industries.

From 2015 to 2016, Chandra held the role of Regional Vice President at Apttus, providing quote-to-cash software solutions on the Salesforce platform.

Before that, they worked at Selectica from 2013 to 2015 as a Vice President, leading enterprise software engineering and services in the launch of CPQ and CLM solutions.

From 2012 to 2013, Chandra served as the Senior Vice President of Engineering & Product Management at WittyParrot, driving the successful launch of an AI/ML-based content management application.

From 2008 to 2010, they held the role of Senior Director at Model N, delivering enterprise SaaS solutions in pricing and revenue management, CRM, and sales.

Chandra began their career at Apple in 2007 as a Senior Program Manager.

Throughout their career, Chandra has been involved in driving innovation, leveraging emerging technologies, and leading teams to develop and launch transformative software solutions in various industries.

Chandra Kanive, MS, MBA, has an extensive education history. Chandra obtained a Bachelor of Science (BS) degree in Computer Science from the University of Mysore. Chandra further pursued their education at the University of Nebraska-Lincoln, where they earned a Master of Science (MS) degree in Computer Science. Chandra also completed an Executive MBA program at UCLA Anderson School of Management, specializing in an undisclosed field of study.

In addition to their formal degrees, Chandra has acquired numerous certifications to expand their knowledge and skills. These certifications include "Introduction to AR/VR/MR/XR: Technologies, Applications & Issues" from the University of Michigan, "Bitcoin and Cryptocurrencies" and "Blockchain Technology" from Blockchain at Berkeley, and "Blockchain: Understanding Its Uses and Implications" from The Linux Foundation. Chandra has also completed various certifications related to cloud computing and data analytics, such as "AWS Cloud Technical Essentials" and "Big Data Modeling & Management" from UC San Diego.

Chandra's educational journey has encompassed a diverse range of topics. Chandra has developed expertise in artificial intelligence (AI) and healthcare through certifications like "AI Series: Evaluations of Artificial Intelligence Applications in Healthcare," "AI Series: Fundamentals of AI and Machine Learning in Healthcare," and "AI Series: Introduction to Clinical Data" from Stanford University School of Medicine. Chandra also holds a certification in "Artificial Intelligence in Healthcare Captstone Project" from Stanford University School of Medicine. Moreover, they have completed "Precision Medicine" from the University of Geneva and several certifications related to various cloud platforms, such as AWS, Google Cloud, and Microsoft Azure.

Chandra's dedication to continuous learning is evident through their pursuit of educational opportunities related to emerging technologies and trends in the fields of computer science, healthcare, artificial intelligence, and blockchain.