Ravi Teja on Muck Rack

Ravi Teja

As seen in: Techwiser, Dailymotion, Medium, The Journal of Clinical Endocrinology & Metabolism, Times Now News, DEV Community, Jagran English, Bollywood Hungama, ABP News, MySmartPrice, Ap7am and
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Articles

Synthetic data-driven diabetic retinopathy diagnosis with explainable AI: a clinically interpretable framework

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By Hemanth Kumar, Ravi Teja, Siva Krishna
| link.springer.com
Purpose Diabetic Retinopathy (DR), a serious complication of Diabetes and leading cause of blindness, demands accurate and early diagnosis. Current diagnostic challenges results from two major limitations: (i) lack of expertly annotated clinical datasets due to privacy and cost factors, and (ii) the nature of deep learning models that limits clinical adoption.
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AI-Assisted Incident Triage in Large-Scale Cloud Systems: A Human-Centered Reliability Framework

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By Ravi Teja
| DEV Community
Introduction As cloud infrastructures evolve toward extreme scale, incident response has transitioned from a primarily reactive engineering function to a core reliability discipline. Modern cloud incidents are rarely caused by single-point failures. Instead, they emerge from complex interactions between services, control planes, configuration systems, and external dependencies. In this environment, the central challenge of incident response is no longer detection, but interpretation.
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4 Critical Features for Agentforce Architecture in 2026

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By Ravi Teja
| Salesforce Ben
The enterprise technology landscape is currently undergoing a “Agentic Pivot,” a transition as consequential as the initial migration to the cloud. This shift moves organizations away from static, deterministic automation toward a future defined by autonomous systems capable of multi-step reasoning and real-time data orchestration.
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