Ruk Sundaramurthy is the Director of Engineering for AI/ML Solutions, bringing over 26 years of distinguished experience in network architecture, cloud infrastructure, and advanced intelligent systems. Excel at guiding cross-functional engineering teams to transform cutting-edge concepts into high-scale, production-ready enterprise solutions.

Strategic Leadership & Core Expertise

• Advanced AI/ML & Agentic Systems: Spearheads the development of cutting-edge AI/ML solutions, leveraging Gemini LLMs, Amazon SageMaker, and Agentic AI frameworks, including advanced Retrieval-Augmented Generation (RAG) architectures.

• Predictive Modeling & Frameworks: Expertly applies diverse modeling methodologies—including XGBoost, Generalized Additive Models (GAM), Bayesian inference, and the AWS ADK—to extract deep insights from complex datasets.

• AI/ML-Ready Cloud Architecture: Designs highly scalable, micro-services-based SaaS products on AWS utilizing EKS, Kafka, Spark, Storm, ELK stack, and distributed databases (PostgreSQL, Cassandra, Green-plum).

• Massive-Scale Data Ingestion: Architected production-proven infrastructure engineered to process 1 million flow records per second—establishing the high-throughput data pipelines critical for real-time AI/ML training and inference.

• Network Automation & Telecom: Deep technical mastery across network automation, predictive alarm analytics, GPON/XGSPON/NGPON2 access platforms, BNG, Routing and Switching, and core protocols (DHCP, IGMP, SOAM).

Business Impact & Technical Execution

• Tier 1 Customer Acquisition: Provided the pivotal technical leadership for a Converged Access Node with an Integrated BNG solution, successfully securing Verizon as a Tier 1 client.

• Commercial & RFP Strategy: Key technical negotiator for high-stakes RFPs, translating complex client interviews into robust technical requirements and production-ready intelligent solutions.

• Full-Lifecycle Excellence: Comprehensive mastery of the full Software Development Life Cycle (SDLC)—from AI/ML pipeline discovery and architecture through to deployment, testing, and critical tier-3 support.