50%
Operational Efficiency
Reduced manual document-servicing effort by architecting autonomous Multi-Agent Systems (MAS) using LangGraph for stateful, multi-step reasoning.
SIVA SANKAR TUMMALA
Available · Remote
Siva Sankar
Tummala
Fractional AI Solutions Architect · Agentic Orchestration Expert
Architecting autonomous multi-agent systems and secure inference pipelines that bridge the gap between AI experimentation and enterprise-grade production.
Request Contract ProposalSFO Bay Area · US Time Zone · Remote
Agentic Impact Metrics
60%
Insight Retrieval Gain
Production-grade RAG with semantic chunking and metadata filtering — retrieval latency from minutes to sub-second responses.
80%
AI Delivery Acceleration
AI-augmented golden-path pipelines compressing regional onboarding and release velocity from weeks to days.
100%
Deterministic AI Governance
Auditable ML delivery and drift detection via GitOps (ArgoCD) with embedded Policy-as-Code (OPA/Rego) guardrails.
About
Most enterprise AI initiatives are stuck in the “Chatbot” phase. I help companies move beyond simple RAG to build autonomous Agentic solutions that actually execute work.
As the Founding Architect of Oracle CX Unity, I designed and scaled a global platform for 200+ enterprise customers across 24 regions. Today, I offer my 15+ years of systems architecture experience as a Remote Design & Build Contractor for organizations ready to deploy production-grade AI.
I bridge the gap between “bleeding-edge” AI experimentation and the stable, secure infrastructure required by the modern enterprise.
What I Deliver
Agentic Orchestration
Stateful, multi-step reasoning workflows and Multi-Agent Systems (MAS) using LangGraph and LangChain.
Enterprise-Grade RAG
Advanced retrieval with semantic chunking and metadata filtering — 60% higher servicing efficiency.
High-Velocity Delivery
Cloud-agnostic, automated pipelines that compress delivery from weeks to days — up to 80% improvement in release velocity.
Governed LLMOps
Secure, observable, cost-efficient AI platforms using KServe, ArgoCD, and OpenTelemetry.
Engagement Model
Fractional Leadership (Retainer)
Long-term, part-time architectural oversight and AI strategy for organizations scaling their Agentic ecosystem.
Project-Based Execution (SOW)
End-to-end "Zero-to-One" delivery—taking a prototype to a production-grade Agentic system in a defined timeline.
Strategic Advisory & Audits
Short-term, high-impact engagements focused on AI Governance, Inference Tracing, and Infrastructure right-sizing.
The Agentic Deep Dive
Autonomous Orchestration
Architecting stateful, multi-step reasoning using LangGraph to automate complex operational servicing — 50% reduction in manual effort.
Enterprise Connectivity
Early adopter of Model Context Protocol (MCP) for secure, standardized agent-to-API communication across diverse enterprise data silos.
Production RAG
High-scale Semantic Chunking and Metadata Filtering via OCI Vector Search — 60% retrieval efficiency improvement.
Inference Observability
Distributed tracing for non-deterministic Agentic workflows — enterprise-grade auditability and reliability at scale.
DevSecOps Architectural Foundation
Scalable AI Orchestration (Kubernetes)
Architected mission-critical AI workloads on Oracle Kubernetes Engine (OKE) and AWS EKS, utilizing GitOps-driven delivery via ArgoCD to ensure zero-downtime deployments and 99.99% SLO compliance for global clusters.
Immutable Infrastructure (Terraform)
Engineered reusable, cloud-agnostic Terraform modules to standardize environment provisioning across OCI, AWS, and Azure—reducing regional AI infrastructure onboarding from weeks to under 60 minutes.
Multi-Cloud AWS Integration
Designed resilient hybrid-cloud architectures leveraging AWS EKS for distributed inference and high-performance storage, ensuring cost-optimized compute and secure data residency for global Agentic systems.
Policy-as-Code & Automated Governance
Orchestrated "shift-left" security gates by embedding OPA and automated scanning directly into AI delivery pipelines. This approach ensures 100% auditable governance for non-deterministic Agentic workflows and prevents configuration drift across global, multi-region environments.
Knowledge Base
BOOK
AI Governance NorthStar
A practitioner’s guide to governance in enterprise AI systems.
BOOK
The Elastic Brain
Kubernetes autoscaling strategies for ML-based applications.
Certifications & Credentials
Professional Chronology
2019 – Present
Senior Principal Architect (AI & Platform) · Oracle CX Unity
Leading Zero-to-One SaaS strategy and Multi-Agent Orchestration at global scale.
2016 – 2019
Principal Software Engineer · Oracle Fusion Apps
Modernized global provisioning frameworks and event-driven automation.
2013 – 2016
Big Data Architect
Migrated RDBMS to distributed Hadoop/Spark clusters; engineered real-time Kafka pipelines.
Prior – 2013
Lead Software Engineer · 8 Years Java/J2EE
Designed resilient backend services and high-concurrency REST APIs.