Niharika Gupta's contributions

Build AI-powered engineering standards assistants with Blazor & ASP.NET Core for instant guidance, improved productivity, and consistent application of guidelines.

Learn how an enterprise AI control plane centralizes governance, monitoring, policy enforcement, security, and cost visibility across AI services.

Master AI workflow recovery: Learn patterns like checkpointing, state persistence, retries, and compensation for resilient agent operations.

Unlock insights from unstructured data with ASP.NET Core AI knowledge extraction pipelines. Transform documents into actionable knowledge.

Unlock AI success with a practical framework for scoring enterprise application readiness. Identify gaps, prioritize improvements, and ensure ROI.

Leverage AI for enterprise knowledge base maintenance. Keep content fresh, accurate, and relevant with automated analysis and recommendations.

Streamline engineering onboarding with AI assistants. Enhance productivity, reduce time-to-productivity, and centralize knowledge.

Enhance DevOps with AI-powered change risk analysis. Improve deployment confidence, predict failures, and ensure safer releases.

Leverage LLMs for AI-assisted API design, enhancing developer experience with automated specs, documentation, and governance.

Unlock enterprise AI potential with semantic data modeling. Enhance search, integration, and AI accuracy by organizing data by meaning, not just structure.

Build AI-powered technical documentation generators in .NET. Automate API docs, architecture summaries, and onboarding guides.

Build AI-powered engineering portals with ASP.NET Core & Blazor. Centralize knowledge, boost productivity, and accelerate software delivery.

Unlock reliable AI outcomes with robust data quality pipelines. Learn to validate, clean, and enrich enterprise data for better AI performance.

Optimize AI knowledge retrieval by designing AI-friendly database schemas. Learn best practices for chunking, metadata, embeddings, and security.

Design effective human feedback loops for enterprise AI. Learn how to improve accuracy, trust, and operational effectiveness with .NET and Azure OpenAI.

Build AI-powered DevOps assistants with ASP.NET Core, Azure OpenAI, and Semantic Kernel to boost engineering productivity and accelerate software delivery.

Build cost-efficient RAG architectures for enterprise AI. Optimize retrieval, context, models, and caching for sustainable AI.

Build secure, scalable multi-tenant AI apps in ASP.NET Core with Azure OpenAI, Semantic Kernel, and Azure AI Search.

Master prompt version control for AI apps. Treat prompts like code for better reliability, collaboration, and governance.

Master AI infrastructure costs. Learn practical strategies for engineering teams to govern, optimize, and forecast AI spending effectively.

Explore advanced knowledge retrieval patterns beyond vector databases for accurate, trustworthy AI systems. Learn hybrid search, KGs, SQL, multi-source, and agents.

Unlock AI's potential in engineering. Discover strategies for successful AI adoption, from identifying use cases to measuring outcomes.

Design robust enterprise AI guardrails for security, compliance, and risk management. Ensure safe, responsible, and trustworthy AI integration.

AI coding agents revolutionize vulnerability remediation, automating fixes, reducing developer workload, and enhancing security posture.

Unlock faster code discovery with AI-powered semantic search. Navigate complex codebases by meaning, not just keywords, to find business logic efficiently.