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Rucha KanseRK
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Rucha Kanse

@ruchakanse

Software Developer at Aristocrat Technologies who scaled AI test generation to 20 autonomous suites per hour and cut engineering cycle times by 60%.

United States
Message

At Aristocrat Technologies, I architected and deployed a TypeScript Multi-Agent AI platform that scaled test generation from two manual cases a day to 20 autonomous suites per hour, reducing engineering cycle times by 60%. I also developed visual validation tooling with YOLOv9 and COCO Annotator that eliminated over $250K in annual manual QA overhead.

I led the refactoring of a legacy gaming platform into distributed Java microservices, helping safeguard $5M+ in digital gaming revenue while reducing live-site downtime by about 30%. I also developed reusable GitHub Actions workflows across more than 20 repositories and built a C#/.NET Core environment management platform that reduced infrastructure waste by 15%.

Experience

Work history, roles, and key accomplishments

AT
Current

Software Developer

Aristocrat Technologies

Feb 2021 - Present (5 years 8 months)

Architected and deployed an enterprise Multi-Agent AI platform, scaled test suite generation from 2 manual cases per day to 20 autonomous suites per hour, and eliminated over $250K in annual manual QA overhead. Led architectural refactoring of a legacy monolithic platform into 8+ distributed Java microservices, safeguarding $5M+ in digital gaming revenue streams.

CT

Software Engineer

Cloud Big Data Technologies

Aug 2020 - Feb 2021 (6 months)

Developed scalable backend services for an enterprise payroll and pension management platform using Java, Spring MVC, and MySQL. Built modular automated testing frameworks using Java and JUnit integrated into deployment pipelines, and optimized database queries to reduce data retrieval latency.

Education

Degrees, certifications, and relevant coursework

California State University Long Beach logoCB

California State University Long Beach

Master of Science, Computer Science

2018 - 2020

Pursued a Master of Science in Computer Science, focusing on advanced topics in software engineering and distributed systems.

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