Rajesh Nair
Managing Director at TechCloudPro
In short
Rajesh Nair is Managing Director at TechCloudPro and has written 25 articles published here, covering the areas below.
Background
Rajesh divides his time between several business interests, ranging from solar powered sustainable products and corporate gifting to organic food production, technology and logistics. He brings that operating background to TechCloudPro, where he is responsible for keeping delivery running across geographies.
Elsewhere
Articles by Rajesh Nair
- Accelerating NetSuite Implementation With AutomationWhere automation genuinely compresses NetSuite implementation work, what it cannot do, and how ArthaBuild runs intake through to sandbox deployment.
- Spare Parts Inventory Management and Aftermarket MarginSpare parts inventory management for equipment makers. Stocking policy for intermittent demand, pricing what availability is worth, and obsolescence.
- Field Service Management and ERP for Equipment MakersField service management and ERP for equipment makers. Installed base, contract entitlement, van stock, first time fix, and making engineer paperwork count.
- Medical Device Traceability from Component to RecipientMedical device traceability from component to recipient. Where serialisation beats lot control, where chains break, and what a device history record needs.
- Distributor Pricing Management and Rebates in ERPDistributor pricing management and rebates in ERP. Price rule hierarchy, override control, supplier and customer rebate accrual, and where margin quietly leaks.
- Food Traceability Software and Recall ReadinessWhat food traceability software has to do before an incident. Lot chain integrity, mock recalls, who can put stock on hold, and records you cannot rebuild.
- Restaurant Food Cost Control Across Multiple LocationsRestaurant food cost control across multiple locations. Theoretical against actual cost, recipe costing, count discipline and how to compare sites fairly.
- Contract Manufacturing ERP and the Stock You Cannot SeeA contract manufacturing ERP setup that makes outsourced stock visible. Component ownership, outsourced work orders, landed cost and the monthly reconciliation.
- How to Deploy a Private LLM on Your Own Infrastructure: Enterprise GuideLearn how to deploy private large language models on your own infrastructure. Covers data sovereignty, GPU requirements, model selection
- Private LLM or OpenAI API in 2026: How We Run the MathWhen does private LLM actually win in 2026? The cost thresholds, the engineering tax most teams forget, and 10 lessons we have learned shipping private LLMs
- RAG vs Fine-Tuning for Enterprise AI: When to Use WhichWhen to use RAG vs fine-tuning for enterprise AI applications. Covers cost, latency, accuracy, maintenance, and a practical decision tree for architects.
- Agentic AI in the Enterprise: 7 Use Cases, Architecture Patterns, and Implementation RoadmapExplore how agentic AI differs from traditional AI, with 7 enterprise use cases, architecture patterns for single and multi-agent systems
- AI Governance Framework: Meeting EU AI Act and NIST AI RMF Requirements in 2026A practical guide to AI governance covering EU AI Act enforcement timelines, NIST AI RMF alignment, risk classification, bias testing, model documentation
- How to Cut Enterprise LLM Costs by 50%: Caching, Routing, and Infrastructure StrategiesPractical strategies to reduce enterprise LLM costs including semantic caching, model routing, quantization, batch processing
- The 2026 Tech Skills Gap: Which Roles Are Hardest to Fill and How to Close the GapAn analysis of the 2026 tech skills gap covering the hardest roles to fill, salary inflation, upskilling vs hiring strategies
- Enterprise Conversational AI: Building AI Assistants That Actually Reduce Support TicketsHow to build enterprise conversational AI that reduces support tickets using RAG, dialog management, tool use, deflection rate measurement, CRM integration
- AI Data Governance: Why 70% of AI Projects Fail Before the Model Is BuiltWhy data quality is the number one AI blocker and how to build the data governance foundation for AI including cataloging, lineage, quality scoring
- Multimodal AI for Enterprise: Processing Text, Images, Audio, and Video in One PipelineHow enterprises use multimodal AI to process text, images, audio, and video in unified pipelines. Covers GPT-4o Vision, Gemini, Claude vision
- AI for Supply Chain Optimization: Real-World Applications and Implementation GuideHow enterprise AI is transforming supply chain management: demand forecasting, inventory optimization, supplier risk, and logistics routing.
- CMMC 2.0 Compliance Guide for Defense Contractors: What You Need to Know in 2026Complete CMMC 2.0 compliance guide for defense contractors. Covers Level 1, 2, and 3 requirements, assessment process, timelines
- Enterprise AI Model Selection Guide 2026: GPT-4o vs Claude vs Gemini vs LlamaHow to choose the right AI model for enterprise use cases in 2026. Detailed comparison of GPT-4o, Claude 4, Gemini 2.5
- Prompt Engineering for Enterprise AI: Techniques That Actually Work in ProductionPractical prompt engineering guide for enterprise AI teams. Covers chain-of-thought, RAG prompting, structured output, system prompts
- AI Agents vs Chatbots: What Is the Difference and Which Should Your Enterprise Deploy?Clear explanation of the difference between AI chatbots and AI agents for enterprise use. Includes real use cases, deployment considerations, costs
- DORA and NIS2: What US Companies Need to Know and Do Before the DeadlinesComplete guide to EU cybersecurity regulations DORA (Digital Operational Resilience Act) and NIS2 for US-based companies with EU operations.
- How to Conduct an Enterprise Cybersecurity Risk Assessment: Complete Guide 2026Step-by-step guide to conducting an enterprise cybersecurity risk assessment. Covers methodology, asset inventory, threat modeling, risk scoring
What Rajesh Nair writes about
- AI and automation13 articles
- ERP and NetSuite1 articles
- Cybersecurity3 articles
- Industry insight8 articles
The practice behind the writing
Articles here come out of delivery work rather than a content calendar, which is why they tend to be specific about what went wrong.
- Case studiesEngagements we can describe in detail
- ServicesThe four practices
The rest of the team
- Jithesh ManoharanChief Executive Officer
- Ethan VerealChief Technology Officer
- Peter SamuelHead of IT Staffing
- LeadershipEveryone who runs the practice
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