Manohar Vallabi

About Manohar Vallabi

I am a results-driven Software Engineer with over 5 years of experience developing secure, scalable solutions for the healthcare industry. My expertise spans Java, MERN stack, AWS, and microservices architecture, with a focus on HIPAA-compliant systems that meet complex regulatory requirements. I have successfully led projects that improved healthcare claims processing by 25%, reduced deployment times by 40%, and ensured 99.9% uptime for mission-critical applications. Throughout my career, I have delivered high-performance APIs, real-time data pipelines, and cloud-hosted platforms that enhance interoperability between healthcare systems. My work integrates modern engineering practices—such as containerization, CI/CD automation, and proactive monitoring—while maintaining strict security and compliance standards. I take pride in bridging the gap between healthcare business needs and innovative software solutions. I am passionate about using technology to improve patient outcomes, streamline provider workflows, and drive measurable business impact. If you are looking for a software engineer who combines deep technical expertise with a strong understanding of healthcare challenges, I’d be happy to connect.

Experience

1. Software Development Engineer

   LTIMindtree

   Oct 2023 — Present · US

   Designed and implemented Java Spring Boot microservices on AWS (EC2, S3, RDS) to support large-scale healthcare claims processing, reducing adjudication time by 25% and maintaining 99.9% uptime.• Developed REST and GraphQL APIs integrated with frontend dashboards and MongoDB databases, enabling real-time visibility of patient records, insurance claims, and provider performance metrics.• Utilized Apache Kafka for event-driven data pipelines, enhancing interoperability between healthcare systems, enabling EHR integration, and reducing data delays by 15% while maintaining EHR interoperability compliance.• Strengthened application security with OAuth2, JWT authentication, and secure coding practices, ensuring compliance with HIPAA and other healthcare regulatory standards.• Automated deployments using Jenkins, Docker, Kubernetes, and Terraform, reducing release cycles by 40% and increasing delivery reliability.• Implemented proactive system monitoring using Splunk, ELK Stack, and CloudWatch, decreasing production issue resolution time by 30%.

Education

• KL University

  Bachelor of Technology - BTech

  2016 — 2020

• California State University, Long Beach

  Master of Science - MS

  2023 — 2024