Kushagra Sharma's Blog Posts
Kushagra Sharma is a Product Manager at Cisco working on AIOps products that help teams operate complex systems with intelligence and scale. He focuses on translating customer problems into practical, data-driven solutions at the intersection of AI, reliability, and software platforms. Passionate about clear thinking and strong product craft, Kushagra writes to share insights on technology, product strategy, and building systems that actually work in the real world.
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AI Accuracy Explained and How to Improve It
Measure and improve AI accuracy by distinguishing between classification metrics, generative faithfulness, and agentic trajectory completion.
Best Practices for AI Model Validation in Machine Learning
Learn how to validate AI models across the full lifecycle. From development evals to runtime guardrails, close the gap between benchmarks and production behavior.
The AI Production Readiness Checklist: Infrastructure Requirements for Enterprise AI
Enterprise AI requires core components—including data pipelines, security, and observability—to successfully move agentic applications from demo to production.
What Is Context Engineering?
Understand context engineering as a systematic discipline for curating agent inputs to improve reliability, reduce costs, and optimize performance.
How To Build Deep Research Agents With GPT-5.6 and Evals
Build a deep research agent with plan-and-execute in LangGraph, GPT-5.6, and Tavily. Plus span-level evals that catch planning and retrieval failures.
What We Learned Building Agentic SOCs at the Toughest Live Events
Announcing the revised Event Agentic SOC Reference Architecture & Operations Guide.