Kapil Poreddy
AI-Powered Engineering Leader | Architect of Scalable, Cloud-Native Platforms | Driving Digital Transformation & Business Impact Across Retail, Healthcare & Telecom
San Francisco, California, United States
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My work operates at the intersection of large-scale digital infrastructure and population health transformation — designing AI-enabled, cloud-native systems that translate intelligence into real-world outcomes at a national scale.
My areas of focus include:
• High-reliability, cloud-native platforms powering mission-critical retail and healthcare ecosystems
• Multicloud architecture optimization for resilience, cost efficiency, and continuous availability
• AI-driven engineering systems — from agentic automation to intelligent incident response
• Retail-integrated digital health and care delivery models that bridge predictive insight with physical fulfillment
Across two decades, my work has progressively evolved from digital health foundations to architecting infrastructure capable of delivering preventive care, diagnostics, and essential services to millions — demonstrating how software engineering leadership can directly shape societal outcomes.
I actively contribute through mentoring, research publications, industry talks, and open-source initiatives focused on scalable AI systems, digital health innovation, and resilient infrastructure design.
📩 Connect: poreddykapil@ieee.org
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Reducing MTTR and Alert Fatigue with PyTorch-Powered Anomaly Detection
Large B2C systems generate a deluge of telemetry facts, ranging from CPU and memory records to logs, bug codes, and nuanced platform-specific alerts throughout respective areas.
This consultation provides a hands-on approach to anomaly detection using Python to improve MTTR and decrease alert fatigue by way of delivering precise, honest alerts. Drawing on actual-world experience in growing a wise incident management bot, we explore the way to process diverse, multivariate statistics streams from pods, services, and platforms like iOS, Android, and the web. The model correlates metrics throughout infrastructure layers and platforms to surface a significant alerts, complete with context, diagnostics, and counselled remediation steps proactively.
Topics covered encompass:
Correlating contextual alerts to lessen noise and alert fatigue
Boosting confidence in alerts through meaningful insights
Automating diagnostics to force faster RCA
In case you're running big scale, this session will share sensible, adaptable strategies to embed deep gaining of knowledge into your observability stack and transition from reactive monitoring to proactive decision-making.
Panel: Unifying teams for successful digital transformation: Strategies for engagement and collabora
https://www.digitaltransformation-week.com/northamerica/agenda/digital-transformation-in-action/
https://www.digitaltransformation-week.com/northamerica/speaker/kapil-poreddy/
– In this dynamic session, we will explore effective strategies for rallying teams around digital transformation initiatives. Participants will learn how to foster a culture of collaboration and engagement that drives successful outcomes.
– We will discuss the importance of clear communication, inclusive leadership, and shared vision in aligning diverse teams toward common goals. Attendees will also discover practical tools and techniques to overcome resistance to change, encourage cross-functional cooperation, and empower team members at all levels.
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