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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Optimizing RAG Retrieval: How to Select the Right Reranking Model
Rerankers optimize retrieval order for production RAG systems; learn how to select reranker architectures for your latency budget, and domain requirements.
Advanced Chunking Techniques: What The Benchmarks Actually Show
Optimize retrieval performance by matching chunking strategies to your document structure, latency budgets, and cost constraints
Protecting Critical Apps in the Age of AI Agents
How Splunk connects runtime and security context for faster response.
LLM-as-Judge vs. Human Evaluation: When to Use Each (And Why Elite Teams Use Both)
Understand the tradeoffs between LLMs and humans for generative AI evaluation
LLM Judges vs. SLM Judges: When To Use Which
LLM judge vs SLM judge: an SLM costs 10-30x less and runs in 15-150ms, making 100% coverage affordable. See where each wins and when to make the switch.
Benchmarks for Multi-Agent AI Systems
Evaluate multi-agent AI systems using benchmarks that prioritize coordination, reliability, and policy adherence over simple accuracy scores to ensure production readiness.