Subrahmanya K PSite Reliability Engineer
Bridging development and operations with a focus on building robust systems, automating workflows, and ensuring reliability at scale.
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Core Expertise
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About Me
Developer & Site Reliability Engineer
A versatile technology professional with 3+ years of experience bridging development and operations. I combine strong backend development skills in Django, Python, and .NET with deep expertise in DevOps practices, infrastructure automation, and site reliability engineering.
Backend Development
Built Django applications, REST APIs, and automation tools for healthcare AI products.
Infrastructure & Deployment
Architected scalable solutions across AWS/Azure, reducing deployment time by 90%.
Automation & Tooling
Developed Python scripts and tools that achieved 3× productivity improvements.
Site Reliability
Maintained 99.99% uptime with comprehensive monitoring and 60% MTTR reduction.
Technical Skills
Comprehensive expertise in modern DevOps tools, cloud platforms, and infrastructure technologies
Currently Learning
Languages & Frameworks
CI/CD & Deployment
Container & Orchestration
Infrastructure as Code
Cloud Platforms
DevOps Tools
Certifications & Achievements
Professional Experience
Work Experience
Site Reliability Engineer
Oct 2024 - PresentLeading deployment and infrastructure management for healthcare AI products including AutoRECIST, qXR, qCT, and Gateway. Built automated installers reducing deployment time from hours to minutes, achieving 3× productivity boost. Developed Django-based backend features and REST APIs while ensuring 99.99% uptime. Serve as Technical POC for multiple clients with 24/7 support, successfully deploying in regulatory-compliant regions like Vietnam and Dubai. Established comprehensive monitoring using Datadog and Grafana, reducing MTTR by 60%.
- Built automated deployment tools reducing TAT from hours to minutes
- Managed healthcare AI infrastructure across AWS cloud and on-premise
- Integrated with hospital PACS using DICOM protocol
- Technical POC providing 24/7 client support
Education
B.E
Dr. Ambedkar Institute of Technology, Bengaluru
Aug 2017 – June 2021
12th (CBSE Board)
Jawahar Navodaya Vidyalaya
2016
10th (CBSE Board)
Jawahar Navodaya Vidyalaya
2014
Awards & Recognition
Customer Delight
Received for doing multiple POCs and getting good feedback, appreciation from engagements
Star Team Award
Received for good work performance in the project
Featured Projects
Key projects and initiatives from my work at Qure.ai and other organizations, showcasing impact on healthcare AI and infrastructure automation.
Showing 4 of 6 projects
AutoRECIST - Automated Tumor Response Evaluation
@ Qure.ai
🔧 Stack
💡 Problem
Healthcare providers needed automated tumor response evaluation to streamline oncology workflows and reduce manual assessment time.
⚙️ What I Did
- Contributed to backend development using Django framework for automated tumor response evaluation logic
- Managed AutoRECIST infrastructure on AWS ensuring high availability and scalability
- Conducted hands-on training sessions for client teams on deployment across varied environments
- Automated key deployment steps to minimize manual overhead and reduce deployment time
📈 Outcome
- Reduced deployment time from hours to minutes through automation
- Successfully trained multiple client teams on deployment procedures
- Achieved high availability with zero downtime during critical evaluations
- Streamlined oncology workflow efficiency
- Easy access to check nodule growth in each visit
qXR - AI-Powered Chest X-ray Analysis
@ Qure.ai
🔧 Stack
💡 Problem
Manual chest X-ray analysis was time-consuming and needed automation to improve diagnostic speed while maintaining accuracy across diverse infrastructure environments.
⚙️ What I Did
- Built automated installer for Linux devices reducing deployment TAT from hours to minutes
- Spearheaded on-site troubleshooting resolving critical production issues
- Deployed qXR across analog systems, AWS cloud, and on-premise infrastructure
- Served as Technical POC for multiple clients with 24/7 support during rotational shifts
- Established end-to-end monitoring using Datadog and Grafana for improved observability
- Architected scalable, fault-tolerant infrastructure using AWS services and NGINX
- Integrated with hospital PACS using DICOM protocol for automated image retrieval
📈 Outcome
- 3× productivity boost for client's qXR workflow through optimization
- Deployment time reduced from hours to minutes with automated installer
- Improved incident response time by 60% with monitoring infrastructure
- Successfully deployed in regulatory-compliant environments (Vietnam, Dubai)
- Zero critical incidents during 24/7 support periods
qCT - CT Scan Analysis Platform
@ Qure.ai
🔧 Stack
💡 Problem
Manual report generation for CT scans was a high-frequency task taking hours, creating bottlenecks in the diagnostic pipeline.
⚙️ What I Did
- Built internal report generation tool using Django automating high-frequency tasks
- Designed secure, scalable cloud infrastructure using AWS services
- Developed RESTful APIs and backend pipelines for healthcare system integration
- Participated in Agile Scrum sprints using Jira for task tracking
- Performed code reviews and maintained code quality through pull requests
- Collaborated with University of Calgary on benchmarking across 1,500 patient cases
📈 Outcome
- Report generation time reduced from hours to minutes
- Validated product performance across 1,500 patient cases
- 100% API uptime for external healthcare system integrations
- Improved team velocity by 25% through Agile practices
Gateway - Healthcare Interoperability Platform
@ Qure.ai
🔧 Stack
💡 Problem
Healthcare facilities needed seamless integration between different imaging systems and lack of interoperability was causing workflow inefficiencies.
⚙️ What I Did
- Worked extensively with DICOM protocol for healthcare interoperability
- Developed features and maintained backend functionality using Django
- Deployed Gateway application at multiple client sites
- Automated deployment steps to reduce setup time and manual intervention
- Implemented secure data transfer protocols for sensitive medical data
📈 Outcome
- Reduced deployment time by 70% through automation
- Successfully integrated with 5+ different PACS systems
- Zero security incidents with medical data transfers
- Improved imaging workflow efficiency by 50%
Additional Technical Contributions
🛠️ Tools & Technologies
- • Gained hands-on experience with Cursor, Claude Code, LightLLM, Make.com, and MCP
- • Remote system management using Teleport, Endpoint Central, and Countly
- • Proficient in Agile-Scrum methodologies and Jira-based project tracking
🚀 Key Achievements
- • Designed Django-based automation for recurring internal requests
- • Developed and maintained multiple REST APIs for integration pipelines
- • Delivered 24/7 client support through rotational shifts and weekend availability
Get In Touch
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.