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I am a software engineer with a strong focus on building scalable, cloud-native solutions in healthcare. I enjoy turning complex problems into reliable, maintainable systems, and I’m passionate about AI-driven workflows that improve patient care. In my current role at Siemens Healthineers, I design event-driven microservices, optimize edge and cloud communications, and contribute to performance monitoring and resilient deployments. I thrive in collaborative teams and continuously seek craftsmanship and automation to accelerate impact.…I am a software engineer with a strong focus on building scalable, cloud-native solutions in healthcare. I enjoy turning complex problems into reliable, maintainable systems, and I’m passionate about AI-driven workflows that improve patient care. In my current role at Siemens Healthineers, I design event-driven microservices, optimize edge and cloud communications, and contribute to performance monitoring and resilient deployments. I thrive in collaborative teams and continuously seek craftsmanship and automation to accelerate impact.

Lakshya Kumar Hirani

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I am a software engineer with a strong focus on building scalable, cloud-native solutions in healthcare. I enjoy turning complex problems into reliable, maintainable systems, and I’m passionate about AI-driven workflows that improve patient care. In my current role at Siemens Healthineers, I design event-driven microservices, optimize edge and cloud communications, and contribute to performance monitoring and resilient deployments. I thrive in collaborative teams and continuously seek craftsmanship and automation to accelerate impact.…I am a software engineer with a strong focus on building scalable, cloud-native solutions in healthcare. I enjoy turning complex problems into reliable, maintainable systems, and I’m passionate about AI-driven workflows that improve patient care. In my current role at Siemens Healthineers, I design event-driven microservices, optimize edge and cloud communications, and contribute to performance monitoring and resilient deployments. I thrive in collaborative teams and continuously seek craftsmanship and automation to accelerate impact.

Available to hire

I am a software engineer with a strong focus on building scalable, cloud-native solutions in healthcare. I enjoy turning complex problems into reliable, maintainable systems, and I’m passionate about AI-driven workflows that improve patient care.

In my current role at Siemens Healthineers, I design event-driven microservices, optimize edge and cloud communications, and contribute to performance monitoring and resilient deployments. I thrive in collaborative teams and continuously seek craftsmanship and automation to accelerate impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer - Team Hopper, AI Rad Companion at Siemens Healthineers

August 1, 2021 - November 7, 2025

Designed and implemented an event-driven microservice using .NET8 and C#, reducing case processing time by 33%. Configured Azure Service Bus for cloud-based messaging and Kafka for edge-based queues with dead-letter handling and horizontal autoscaling. Employed MongoDB for NoSQL data storage and Blob Storage for persistence. Built a data-management microservice exposing five REST APIs for seamless communication. Improved CI/CD with Terraform-based infrastructure as code, increasing deployment speed by ~90%. Supported site reliability by maintaining Grafana dashboards and Azure Insights, and conducted regular load and system tests to maintain 99% uptime in production.

Software Engineer - Team Darwin, AI Rad Companion at Siemens Healthineers

August 1, 2021 - November 7, 2025

Introduced the 'Report Ready' feature in the Angular UI to streamline radiologists' reporting workflow. Optimized Kubernetes resource allocation by tuning CPU and memory requests/limits, boosting edge deployment efficiency by ~20%. Led code craftsmanship initiatives, achieving Craftsmanship Level 4 by promoting clean code, SOLID design, and secure development practices.

Summer Intern at National Institute of Technology, Tiruchirappalli (NIT Trichy)

June 1, 2019 - June 1, 2019

Trained a machine learning model to detect and classify Diabetic Retinopathy, achieving 98.2% accuracy, contributing to earlier diagnosis.