Saikrishna Paripally
I'm Saikrishna Paripally, a Full Stack Developer with about 4 years of experience building scalable backend and cloud systems using Java, Spring Boot, Python, React, and AWS.
About
I’m Saikrishna Paripally, a Full Stack Developer with about 4 years of experience building scalable backend and cloud systems using Java, Spring Boot, Python, React, and AWS. I have improved performance by 30–55% and supported large-scale deployments for enterprise clients like Cisco and OpenText. I thrive in fast-moving teams and enjoy turning complex problems into robust, scalable solutions.
I have a strong focus on DevOps, security, and compliance—building CI/CD pipelines, automating workflows, and delivering HIPAA-compliant architectures with OAuth2/JWT authentication and comprehensive test coverage. I continuously seek opportunities to reduce manual work, speed up releases, and improve system reliability.
- 5 years' experience
- Joined September 2025
Industry experience
- Software & Internet
- Healthcare
- Professional Services
- Education
- Computers & Electronics
- Financial Services
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Work experience· 12 roles
Led a HIPAA-compliant serverless credentialing workflow on AWS using Python, CDK, S3, Textract and Bedrock to automate document processing, reducing manual verification by 65% and shortening credentialing time from 10 days to 3 days. Designed an AI-powered decision support system with AWS Bedrock to generate risk scores and summary reports, accelerating eligibility determinations and boosting provider onboarding throughput to 120+ per month. Improved development efficiency by adopting GitHub Copilot for AI-assisted coding, increasing team productivity by 30% and reducing feature delivery cycles by 20% for compliance-critical workflows.
Led HIPAA-compliant, serverless credentialing workflow on AWS (Python, CDK, S3, Textract, Bedrock) to reduce manual verification by 65% and shorten credentialing time from 10 days to 3 days. Designed an AI-powered decision support system with AWS Bedrock to generate risk scores and summaries, improving eligibility speed and provider onboarding to 120+ per month. Improved development efficiency with AI-assisted coding, increasing team productivity and shortening feature delivery cycles for compliance-critical workflows.
Built a HIPAA-compliant serverless credentialing workflow on AWS using Python, CDK, S3, Textract, and Bedrock, automating document processing to reduce manual verification by 65% and shorten credentialing time from 10 days to 3 days. Designed and implemented an AI-powered decision support system with AWS Bedrock to generate risk scores and summary reports, improving eligibility determination speed by 55% and provider onboarding throughput to 120+ providers per month. Adopted GitHub Copilot for AI-assisted coding, boosting team productivity by 30% and reducing feature delivery cycles by 20% for compliance-critical workflows.
Education
Certifications and awards· 13
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