Srinivasa Rao Kaza
GenAI & Agentic AI Strategy · SaaS & Cloud Transformation
AI and enterprise technology leader with 20+ years driving large-scale digital transformation and shaping multi-million-dollar enterprise deals. I define AI-led solution strategy, design scalable cloud and Agentic AI architectures, and translate emerging technology into outcomes that hold up in production — across Azure, AWS and Oracle Cloud.
Areas of Expertise
Enterprise Architecture
Scalable enterprise platforms and reference architectures
AI Strategy
Enterprise AI, GenAI and Agentic AI adoption
Cloud Transformation
Azure, AWS and Oracle Cloud modernization
Solution Architecture
Business-driven solution design from strategy to implementation
Pre-sales & Deal Strategy
Large enterprise pursuits, solution shaping and executive engagement
Digital Transformation
Business modernization through technology and automation
Global Delivery Experience
Enterprise solutions delivered across multiple industries and regions
Healthcare AI
Applied AI for healthcare innovation and digital care
Experience
Professional Experience
My career spans enterprise engineering, technical consulting, customer engagement, solution architecture and business transformation across Fortune 500 organizations, industries and global markets — a holistic view of the technology lifecycle, from execution to strategic advisory, driven by solving complex challenges through innovation and collaboration.
International Experience
Onsite engagements and business travel supporting global clients from a Hyderabad home base.
Onsite engagement for Thales.
Onsite engagement for Michelin.
Onsite engagement for Michelin.
Client business trips.
Client business trips.
Professional Certifications
Continuous learning across Enterprise AI, Cloud Architecture, Security and Modern Software Engineering.
Enterprise AI Knowledge Hub
Documentation I maintain and use in practice — reference material, playbooks and interview preparation, all built from real engagement experience.
Enterprise AI Reference Library
In-depth technical reference spanning AI foundations, agentic systems, cloud infrastructure, enterprise integration, security and healthcare AI.
Enterprise AI Playbooks
Practical, step-by-step playbooks for AI strategy, governance, production deployment, cost management and forward-deployed engineering.
Interview Preparation
Structured preparation covering AI architecture, system design, ML fundamentals and behavioral interview rounds.
Architecture Library
Patterns I use and document for enterprise AI, cloud and integration design.
AI Architecture
RAG pipelines, multi-agent topologies and LLM serving patterns for enterprise workloads.
RAG · Agents · LLM ServingCloud Architecture
Azure and AWS AI infrastructure, vector databases, GPU platforms and cost optimization.
Azure · AWS · OCIEnterprise Integration
API design for AI, event-driven architecture, identity & access, and middleware patterns.
APIs · Events · IdentityHealthcare Architecture
Clinical RAG, HIPAA-aware pipelines, EHR/FHIR integration and clinical decision support.
HIPAA · FHIR · Clinical RAGPersonal Research & Experiments
Independent research, architecture prototypes and technical experiments built out of curiosity — separate from client and production work.
Enterprise AI Knowledge Platform
A self-authored reference, playbook and interview-prep library spanning AI foundations, agentic systems, cloud infrastructure and healthcare AI — a personal knowledge-engineering initiative.
Agentic AI & GenAI Architecture Patterns
Reusable architecture patterns for Agentic AI and GenAI platforms, documented here as independent research rather than shared production code.
AI-Assisted Skin Condition Identification
A personal proof-of-concept combining computer vision with a mobile interface, exploring real-world applicability in a healthcare scenario.
LLM Orchestration & Multi-Agent Experiments
Independent, hands-on experiments applying LLM orchestration and multi-agent system design to real-world scenarios.
Infomaze Pathfinding Engine (2005)
A path-finding engine built with a BFS algorithm for a national technical competition — an early, independent foray into applied AI.
Sudoku Solver & Generator
A constraint-satisfaction and optimization engine built independently for dynamic puzzle generation and solving.
Several of these are personal research initiatives, architecture prototypes and proof-of-concepts explored independently of client work. Many source repositories are intentionally private — contact me to discuss a specific implementation or request access.
Latest articles & thought leadership
Long-form writing on AI strategy and architecture is on its way here.
AI Trends
Perspectives on where enterprise GenAI and Agentic AI adoption is heading.
Architecture
Deep dives on enterprise and AI architecture patterns from the field.
Healthcare AI
Notes on applying AI responsibly to clinical and healthcare use cases.
Cloud
Practical lessons on multi-cloud architecture and transformation delivery.
Let's connect
Open to conversations on enterprise AI strategy, architecture and technology leadership.