Principal AI Solutions Architect | Azure · .NET · Agentic Systems

Shiv Ojha

20+ years delivering mission-critical platforms — fintech, retail, healthcare. Greenfield microservices. Event-driven architecture. AI-integrated enterprise systems. Now connecting cloud architecture and intelligent agents to drive business outcomes at scale.

Recent Writing

April 27, 2026

Python Runs AI — TensorFlow, PyTorch, and Scikit-learn Decoded for Enterprise Architects

Python is not just a language for AI — it is the operating system every framework, cloud SDK, and ML pipeline is built on top of, and choosing the wrong framework for the wrong problem costs teams months of rework.

pythontensorflowpytorchscikit-learnmachine-learningdeep-learningenterprise-aiazuremlops

April 25, 2026

AI Ethics, Bias Detection, and Fairness in Production — The Architect's Complete Guide

Undetected bias in production AI does not stay hidden — it surfaces as discriminatory loan decisions, inequitable healthcare triage, and regulatory violations. This post covers what AI bias is, why it is a production architecture problem not just an ethics problem, and how to implement bias detection and fairness controls on Azure and open source.

ai-ethicsbias-detectionfairnessazureresponsible-aillmenterprise-aihipaafintechmlopsllmops

April 24, 2026

AI Compliance in Production — Finance, Healthcare, and the Enterprise Architect's Playbook

AI compliance is not a checkbox. In financial services, SR 11-7 requires model validation, risk tiering, and ongoing monitoring for every LLM in production. In healthcare, HIPAA mandates PHI controls and audit trails. The EU AI Act adds conformity assessments for high-risk AI. This post covers the full compliance stack — regulation, architecture, code, and real examples.

ai-compliancesr-11-7hipaaeu-ai-actazurellmenterprise-aifintechhealthcareauditgovernanceresponsible-ai
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Connecting Dots

Where AI Meets Enterprise Reality

Most AI projects fail at the seams — where prototype meets production, where a model meets a compliance requirement, where a vendor demo meets real fintech data. I write about closing that gap: using Azure AI, RAG pipelines, and event-driven architectures to build systems that actually ship and scale.

Azure AI · AgentsRAG SystemsEvent-Driven ArchitectureFintech · Mortgage ServicingZero Trust SecurityPlatform Engineering