Speaker

Revanth Reddy Airre

Revanth Reddy Airre

Designing and operating large-scale AI infrastructure and agentic systems

San Francisco, California, United States

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Revanth Reddy Airre is a Staff Engineer at Silicon Valley–based AI healthcare startup HippocraticAI, where he works on building safety-critical, large-scale AI platforms for healthcare. His work focuses on designing distributed AI infrastructure, including large-scale distributed systems, distributed scheduling, KV-cache–aware systems, and prefix-aware inference routing to support high-performance LLM serving in production environments.

Previously, Revanth was part of the Comcast Silicon Valley Innovation Center, where he helped build and scale a major data platform serving over 70 million users, tackling complex distributed systems and data infrastructure challenges. Earlier in his career, he worked at Paris-based startup CAST Software and with multiple Silicon Valley startups across AI and blockchain, gaining experience across both enterprise and startup ecosystems.

Revanth is also an active IEEE contributor, serving as Chair of the IEEE Silicon Valley Blockchain Chapter and as Global Student Coordinator for the IEEE Blockchain Technical Community. He has served on program committees for international blockchain research conferences. He is also the founder of FreeCodingSchool, a nonprofit initiative that provides accessible coding education through mentorship and open learning resources.

Area of Expertise

  • Business & Management
  • Government, Social Sector & Education
  • Humanities & Social Sciences
  • Information & Communications Technology
  • Media & Information

Topics

  • Cloud Native
  • distributed systems
  • blockchain
  • Cloud Architecture
  • AI and Cloud Computing
  • Cloud & Infrastructure
  • Cloud & DevOps
  • distributed computing
  • Monitoring and Observability
  • Monitoring
  • Observability
  • Kubernetes
  • aws
  • CICD
  • Azure
  • ServiceMesh
  • Istio
  • ethereum
  • Blockchain Development
  • Model Serving
  • Large Language Models
  • AI inference
  • Model Context Protocol (MCP)
  • AI Agentic Workflows

Revanth Reddy Airre

Designing and operating large-scale AI infrastructure and agentic systems

San Francisco, California, United States

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