Sep 2023 – Present · 2 yrs 6 mos · Bengaluru, Karnataka, India

• Developed, maintained, and feature enhanced 15-microservices-based application across 4 hospital environ-
• ments using Docker, ensuring seamless integration with healthcare IT standards through cross-functional
• collaboration.
• Refactored a critical C++ cardiac mapping module, achieving 30% code reduction and 20% faster builds
• via CMake. Successfully deployed in 5+ live animal clinical trials, enhancing real-time data streaming from
• 3 hardware vendors
• Developed an MQTT-based communication module to integrate GE-Cardio machines, ensuring 99.9% up-
• time, 10s keep-alive intervals, and high-throughput data streaming for real-time processing.
• Implemented Fluentd based logging for Docker containers, structuring logs in JSON format with key-value
• pairs, enabling service-level filtering, and configuring log rotation with compression, reducing storage usage
• by 60%
• Designed and deployed a Kubernetes-based image processing pipeline on GCP, leveraging GPU-accelerated
• nodes, Helm charts, and Cloud Storage, reducing processing time from 1 year to 1 week by parallelizing
• 44,000 cases across multiple GPU instances.
• Engineered an real-time medical device application prototype in Python-OpenCV, integrating frame/DICOM
• extraction, criteria-based gating, ML inference, and streaming with sub-100ms latency.
• Preprocessed clinical data with Python and engineered dynamic 2D/3D dashboards using Dash and Plotly,
• achieving a 40% improvement in insights and a 25% reduction in decision-making time.

Feb 2023 – Aug 2023 · 6 mos · Bengaluru, Karnataka, India

• Created go-swagger documentation for API endpoints; merged the PR into main branch.
• Established a robust CI/CD pipeline for seamless deployment in Kubernetes from GitHub commits.
• Enhanced monitoring capabilities of 2 repositories with Prometheus metrics and Grafana dashboards.
• Used Golang and effectively utilized Docker and Docker Compose.