Enterprise Datacenters | Linux / Unix | VMware / ESX | Kubernetes | Docker | Cloud | Virtualization | Storage | Infrastructure Scaling
I am an IT Architect with 20+ years of experience in enterprise IT infrastructure, large-scale datacenter operations, platform engineering, virtualization, cloud technologies, and AI infrastructure.
My experience includes designing, deploying, scaling, and managing mission-critical infrastructure environments across geographically distributed datacenters supporting enterprise and high-availability workloads.
My technical background spans:
Enterprise Infrastructure Architecture
Large-Scale Datacenter Operations
Linux / Unix Platforms
VMware / ESX Virtualization
Kubernetes & Container Platforms
Docker & Containerization
Cloud & Hybrid Cloud Environments
Infrastructure Automation & DevOps
CI/CD & Platform Engineering
Enterprise Storage
Infrastructure Scaling & Capacity Planning
High Availability & Disaster Recovery
Performance Optimization & Reliability Engineering
My current technical focus is increasingly centered around AI infrastructure and the platforms required to operate AI/ML workloads reliably and efficiently at scale.
I am particularly interested in the infrastructure layer supporting modern AI workloads, including:
AI Infrastructure Provisioning & Operations
GPU & Compute Infrastructure
LLM Workload Infrastructure
Kubernetes-Based AI Platforms
Containerized AI Workloads
GPU Utilization & Resource Optimization
Workload Scheduling & Capacity Planning
Infrastructure Scaling
AI Platform Operations
LLMOps
AI Infrastructure Reliability
Cloud & Hybrid AI Infrastructure
Infrastructure Cost & Performance Optimization
A key area of interest is understanding the relationship between GPU utilization, memory, workload scheduling, batching, infrastructure capacity, performance, and operational cost.
AI applications depend on infrastructure that can scale, perform, and operate reliably.
Enterprise Infrastructure Architecture
Mission-Critical Datacenter Operations
Geographically Distributed Infrastructure
High-Availability Environments
Infrastructure Lifecycle Management
Capacity Planning & Infrastructure Scaling
Linux System Administration
Unix Platform Administration
Enterprise Linux Environments
Solaris / Unix Systems
System Performance & Reliability
VMware
ESX
Virtual Infrastructure
Virtual Machine Platforms
Compute Consolidation
Virtual Infrastructure Scaling
Kubernetes
Docker
Container Platforms
Containerized Workloads
Cloud-Native Infrastructure
Platform Engineering
Hybrid Cloud Infrastructure
Cloud Architecture
Cloud Operations
AWS
Microsoft Azure
Infrastructure Automation
DevOps Practices
CI/CD
Platform Engineering
Operational Automation
Infrastructure Standardization
Enterprise Storage
Capacity Planning
Performance Optimization
High Availability
Disaster Recovery
Reliability Engineering
| Area | Expertise |
|---|---|
| Architecture | Enterprise Infrastructure, Platform Architecture, Infrastructure Architecture |
| AI Infrastructure | AI/ML Platforms, GPU Infrastructure, LLM Workloads, LLMOps |
| Cloud | AWS, Azure, Hybrid Cloud |
| Virtualization | VMware, ESX, Virtual Infrastructure |
| Containers | Kubernetes, Docker, Container Platforms |
| Operating Systems | Linux, Unix, Solaris |
| DevOps | Automation, CI/CD, Platform Engineering |
| Storage | Enterprise Storage, Capacity Planning, Performance |
| Scaling | Compute Scaling, Capacity Planning, Infrastructure Optimization |
| Reliability | High Availability, Disaster Recovery, Reliability Engineering |
| Datacenter | Enterprise Datacenters, Distributed Infrastructure, Mission-Critical Systems |
Linux | Unix | Solaris
VMware | ESX | Virtual Infrastructure
Kubernetes | Docker | Container Platforms
AWS | Microsoft Azure | Hybrid Cloud
Enterprise Datacenters | Compute | Storage | Capacity Planning | High Availability | Disaster Recovery
Infrastructure Automation | DevOps | CI/CD | Platform Engineering | Infrastructure Standardization
My experience covers multiple layers of the infrastructure stack:
| AI / ML Workloads |
| ↓ |
| AI Platforms & LLM Infrastructure |
| ↓ |
| Kubernetes & Container Platforms |
| ↓ |
| Cloud & Virtualization |
| ↓ |
| Compute & Storage Infrastructure |
| ↓ |
| Linux / Unix Platforms |
| ↓ |
| Enterprise Datacenters |
This broad infrastructure background allows me to work across both platform-level architecture and the underlying infrastructure layer.
Selected certifications from my professional background include:
AWS Certified Cloud Practitioner
Microsoft Certified: Azure Fundamentals
Red Hat Certified Engineer (RHCE)
Red Hat Certified System Administrator (RHCSA)
Red Hat Certified Specialist in Containers
ITIL Foundation
Sun Certified System Administrator — Solaris
Certification validity can change over time. Current status should be verified with the respective certification provider.
First Class with Honours
2002 – 2005
Activities included participation in the Cricket Team and National Service Scheme (NSS).
| Artificial Intelligence Infrastructure | Large Language Model Infrastructure |
| GPU Computing | GPU Resource Optimization |
| Kubernetes for AI / ML | Container Platforms |
| Cloud Infrastructure | Infrastructure Automation |
| Large-Scale Infrastructure | Site Reliability Engineering |
| Platform Engineering | Storage & Compute Architecture |
| Enterprise Datacenter Architecture | Infrastructure Performance |
I believe infrastructure should provide a reliable, scalable, and automated foundation that enables engineering teams and business workloads to operate efficiently.
This GitHub profile is where I document and experiment with:
Infrastructure Engineering
AI Infrastructure Concepts
Kubernetes & Container Technologies
Linux / Unix Engineering
Cloud Infrastructure
Infrastructure Automation
DevOps Practices
Virtualization
Infrastructure Monitoring & Optimization
Architecture Patterns
Technology Prototypes & Labs
LinkedIn: Judobabu Harikrishnan
Enterprise Infrastructure | Cloud | AI Infrastructure | Datacenter | Platform Engineering