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Ravikanth Kasamsetty

Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms

VP, Global Engineering23 years experienceExecutiveEnterprise SaaSArtificial IntelligenceCloud Computing
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About

Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.

Experience

VP, Global EngineeringServiceChannel
VP of EngineeringPromethium, Inc
VP of EngineeringMilestone, Inc
Sr. Director, Oracle Analytics CloudOracle Corporation
Sr Director Platform/DataResponsys Corp (Oracle Marketing Cloud)
Senior Director of EngineeringKana Software
Director of Software DevelopmentStrongView Systems
Principal Engineer, Senior ManagerOracle Corporation

Education

The Pennsylvania State Universitymaster, Computer Science and Engineering
The Indian Institute of Technology, Kharagpur, Indiabachelor, Computer Science and Engineering

Key Strengths

  • Defined and executed a 4-year phased technology roadmap to unify siloed products into a cloud-native platform
  • Delivered MVP in ~3 quarters with two critical services that became a sales differentiator
  • Reorganized engineering into cross-functional, end-to-end squads; improved velocity by 40%
  • Strong product/sales partnership to manage roadmap trade-offs and stakeholder expectations
  • Led secure hybrid control-plane/data-plane architecture to keep customer data in their environment
  • Built cloud-agnostic Kubernetes-based platform to support multiple customer clouds and speed onboarding
  • Scaled and led distributed global teams (US, India, EMEA) with consistent standards and shared ownership

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Languages

English

Skills

Machine LearningArtificial IntelligenceGenerative AILarge Language Models (LLMs)Agentic ArchitectureRetrieval-Augmented Generation (RAG)Text-to-SQLLLM Fine-TuningRLHFReinforcement LearningSupervised LearningUnsupervised LearningDeep LearningTransformersAnomaly Detection