Jayanth G H is a Software Technical Lead with 11 years of experience building cloud-native, event-driven backend systems and leading cross-functional teams from Bengaluru. He architects scalable microservices using Python frameworks (Django, FastAPI, Flask) and designs background processing with Celery, Redis, and ActiveMQ, deploying workloads to AKS with automated CI/CD. At Centific he drives end-to-end delivery for products like a retail computer-vision platform (Pitaya), a multi-cloud Data Marketplace integrated with AWS/Azure/Snowflake, metering services, invoicing, and notification systems. He brings strong operational focus—centralized logging with Splunk, performance tuning, API gateway routing, and resilience engineering—while mentoring engineers and guiding technical decisions. An early contributor to the Rhodes mobile framework’s Android camera stack, he blends hands-on debugging and device-level fixes with large-scale distributed architecture. He is passionate about observability-driven, cost-conscious systems that are production-ready and easy for teams to evolve.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE), Computer and Information Sciences, General, Bachelor of Engineering (BE), Computer and Information Sciences, General at APS College Of Engineering
The Rhodes framework is a platform for building locally executing, device-optimized mobile applications for all major smartphone devices.
Role in this project:
Mobile Developer (Android)
Contributions:224 commits, 39 PRs, 113 pushes in 10 months
Contributions summary:Jayanth primarily focused on enhancing the Android camera functionality within the Rhodes framework. Their contributions include implementing features like capturing images, handling different output formats (image, dataUri), integrating with the device's gallery, and addressing various crash issues. The user also worked on managing media player resources, handling image rotation, and incorporating deprecated property values to ensure compatibility and improve the user experience. The user also added the implementation for getting the absolute path of the image.
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