Aushadhee Mahakumarage

Software Engineer Tech Lead II at Enova International

Aushadhee Mahakumarage has a diverse work experience in the field of software engineering. Starting in 2004, they worked as an Electrical Engineering Intern at Ceylon Electricity Board - CEB. In 2005, they joined Metatechno Inc as a Senior Software Engineer, where they developed embedded printer controllers. Aushadhee was responsible for designing and implementing new features, as well as diagnosing and fixing issues in memory management and file handling modules.

In 2012, Aushadhee joined Northwestern University School of Education and Social Policy as a Software Engineer, where they developed and maintained internet-connected lab applications using MIT's iLab framework. Aushadhee also wrote a bridge framework between a legacy Rigaku X-ray Diffractometer and the iLabs framework.

In 2013, they became a Consulting Software Engineer at Motorola, and then in 2014, they joined Enova International. At Enova, they held various positions, including Senior Software Engineer I and II, Lead Software Engineer, and currently serves as a Software Engineer Tech Lead II.

Aushadhee Mahakumarage has a Bachelor of Science degree in Engineering from the University of Moratuwa. Their field of study was Electrical Engineering. However, there is no specific information available regarding the start and end year of this educational experience.

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Arlington Heights, United States

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Enova International

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Enova International is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. In 2016 we launched Enova Decisions™ to offer on-demand digital decision-making technology and real-time predictive analytics services to clients across industries.


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1,001-5,000

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