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phaniburra-ai/README.md

Phani Burra

AI Factory Architect | NVIDIA AI Infrastructure | Agentic AI Execution | Enterprise AI Transformation

I architect and deliver enterprise-scale AI systems operating at the intersection of:

  • GPU-accelerated infrastructure
  • Agentic AI and multi-model systems
  • Enterprise platforms and workflows
  • Cost, ROI, and execution-driven decision frameworks

Featured Platform

AI Factory Design Platform

https://aifactorydesignplatform.com

A platform to design, simulate, and evaluate AI Factory architectures for enterprise use cases.

Key capabilities:

  • Infrastructure strategy (GPU, cloud, hybrid)
  • TCO and ROI modelling
  • Architecture blueprints
  • Multi-model and agentic system design
  • Executive-ready output artefacts

GitHub repo:
https://github.com/phaniburra-ai/ai-factory-design-platform


Areas of Focus

  • AI Infrastructure (GPU, HPC, Cloud, Hybrid)
  • AI Factory Architecture
  • Agentic AI & Multi-Agent Systems
  • Multi-Model Strategy (Claude, GPT, Gemini, Llama, NeMo)
  • Enterprise AI Platforms (ERP, CRM, HCM integration)
  • SRE, AIOps, Observability, DevSecOps
  • Cost Optimization & TCO Modelling
  • AI-driven Business Execution

Experience Highlights

  • Leading enterprise AI transformation programs for Fortune-scale environments with strict reliability and uptime requirements
  • Architecting AI-led SRE-first operating models integrating observability, AIOps, DevSecOps, and automated operations
  • Designing agentic AI systems integrated with enterprise platforms for autonomous, governed execution
  • Driving cloud and platform engineering transformation across multi-cloud ecosystems
  • Building and scaling global teams across architecture, SRE, and platform engineering

Certifications (Selected)

AI & Infrastructure

  • NVIDIA Certified Professional — AI Infrastructure
  • NVIDIA AI Infrastructure & Operations Fundamentals
  • Claude Certified Architect — Foundations
  • Claude (Amazon Bedrock & Google Vertex AI)

Cloud & Platforms

  • Microsoft Azure Solutions Architect Expert
  • Azure OpenAI / Generative AI
  • Google Cloud Business Professional
  • Oracle Cloud Infrastructure Architect Professional

Enterprise Systems Expertise

  • Oracle Cloud: ERP, HCM, Payroll, Talent, Recruiting
  • Workday (FSCM, HRMS, Campus Solutions)
  • Enterprise platforms (ERP · CRM · HCM)
  • Large-scale enterprise transformation and integrations

Education

  • Harvard Business School — Authentic Leader Development
  • MIT Sloan School of Management — AI: Implications for Business Strategy
  • Master of Science (MS) — Gannon University
  • Bachelor of Science (BS) — Sir M V Institute of Technology

Leadership & Community

  • Harvard Business Review Advisory Council Member
  • MIT Technology Review Global Insights Panel
  • Governing Body Member — CIO, CISO, CDO Community (Evanta / Gartner)

Perspective

Enterprise AI is moving from experimentation → execution systems

This requires aligning:

  1. Infrastructure
  2. Intelligence (models + agents)
  3. Business workflows

👉 AI doesn’t just generate insights
👉 It executes


🔗 Links

Popular repositories Loading

  1. ai-factory-design-platform ai-factory-design-platform Public

    Design your enterprise AI factory with confidence. The command centre for CIOs, CTOs, and enterprise architects. Model costs, compare hyperscalers, enforce security, and generate board-ready bluepr…

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    Reference architectures for enterprise AI Factories spanning infrastructure, agentic systems, and business execution

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