Akshatha Mummigatti

Manager Machine Learning Qa @ Kinaxis

About Akshatha Mummigatti

Akshatha Mummigatti is a Manager of Machine Learning Quality Assurance at Kinaxis, with over 13 years of experience in the software industry. She has held various roles in quality assurance and product verification, demonstrating expertise in multiple testing methodologies.

Current Role at Kinaxis

Akshatha Mummigatti currently holds the position of Manager - Machine Learning QA at Kinaxis, where she has worked since 2020. In this role, she oversees quality assurance processes specifically related to machine learning projects. Her responsibilities include managing the QA team, ensuring the quality of software products, and implementing effective testing strategies. She also serves as a scrum master and release manager for the Machine Learning team, facilitating agile practices and coordinating releases.

Previous Experience at Kinaxis

Prior to her current role, Akshatha worked at Kinaxis in various capacities. She served as Team Lead - Machine Learning QA for 10 months in 2019, where she led QA initiatives for machine learning applications. Before that, she was an Advisory Test Developer - Analytics | Machine Learning from 2013 to 2019, contributing to the development and testing of analytics solutions. Her tenure at Kinaxis has spanned over six years, showcasing her expertise in quality assurance within the software industry.

Professional Background

Akshatha Mummigatti has over 13 years of experience in the software industry, focusing on Quality Assurance and Product Verification. She began her career as a Business Technology Analyst at Deloitte in Hyderabad, India, from 2007 to 2009. Following that, she worked as a Software Quality Assurance Engineer at McAfee in Bangalore, India, for three years. Her diverse background has equipped her with a comprehensive understanding of various testing methodologies and software development processes.

Education and Expertise

Akshatha earned her Bachelor of Engineering (B.E.) in Computer Science from S.J College of Engineering, where she studied from 2003 to 2007. Her academic background laid the foundation for her career in software quality assurance. She is proficient in multiple testing methodologies, including functional, regression, performance, compatibility, exploratory, system, manual testing, and test automation. This expertise enables her to effectively manage QA processes and ensure high-quality software delivery.

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