Anusha Work
@anushawork
I build scalable AI-powered cloud applications that automate complex enterprise workflows.
What I'm looking for
At Payfederate, I lead development of an AI-powered Compensation Management Platform for transparent pay equity, embedding Spring AI agents for real-time pay benchmarking and job-pricing recommendations.
As a founding engineer, I shape the product roadmap, mentor a full-stack team, and build secure, scalable Java, Spring Boot, Angular, AWS, and DocumentDB services that automate compensation workflows.
Previously at AMPS Healthcare, I developed microservices processing more than 100k healthcare claims daily and built React applications that automated claim-processing workflows. I also led technical delivery, mentored junior developers, and improved system reliability through code reviews, troubleshooting, and API-centric architecture.
I bring 7+ years of experience across Java, cloud-native applications, AI integration, microservices, and product engineering, with four Best Employee recognitions for impactful delivery and team success.
Experience
Work history, roles, and key accomplishments
Lead Software Engineer
Payfederate India Private Limited
Aug 2024 - Present (2 years 1 month)
Spearheaded AI-powered Compensation Management Platform aimed at transparent pay equity. Integrated Spring AI agents for real-time pay benchmarking and job pricing recommendations.
Senior Software Engineer
AMPS Healthcare India Pvt. Ltd
Jun 2021 - Jul 2024 (3 years 1 month)
Developed backend applications using Java and Spring Boot with Microservices architecture, processing over 100k claims per day. Designed and developed web application using React to manage claim processing practices.
Software Engineer
Ibase IT Solutions
Aug 2018 - May 2021 (2 years 9 months)
Developed web-based applications using Java, Angular, and React JS. Implemented scheduled jobs to fetch product data and interacted with other applications using APIs.
Developed and trained a model using Python and Machine Learning algorithms. Created scripts to use the trained model for predictions on input data.
Education
Degrees, certifications, and relevant coursework
University College of Engineering - Kakinada
Master of Science, Computer Science
2016 - 2018
Master of Science in Computer Science from University College of Engineering - Kakinada, India.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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