Kushagra Sharma's Blog Posts

Kushagra Sharma

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.

SLM-as-Judge: How to Build and Deploy an SLM Judge
Learn
7 Minute Read

SLM-as-Judge: How to Build and Deploy an SLM Judge

How to build an SLM judge: See how to size the model, fine-tune with LoRA, validate it, and serve it in production.
From Agentic Ops To Autonomous IT: The Next Leap in Technology Operations
Partners
6 Minute Read

From Agentic Ops To Autonomous IT: The Next Leap in Technology Operations

The conversation is shifting from AIOps to Agentic Ops.
How to Architect an Enterprise Retrieval-Augmented Generation (RAG) System
Artificial Intelligence
7 Minute Read

How to Architect an Enterprise Retrieval-Augmented Generation (RAG) System

Learn how to implement an end-to-end enterprise RAG architecture, step by step through the pipeline, by understanding common failures.
Born Observable: Why AI-Generated Apps and Agents Need Visibility from Day One
Observability
7 Minute Read

Born Observable: Why AI-Generated Apps and Agents Need Visibility from Day One

Observability Studio lets developers test and validate tracking data in real time during development, catching problems before they reach production.
How AI Coding Assistants Transform Security Teams into Tool Builders
Ciso Circle
5 Minute Read

How AI Coding Assistants Transform Security Teams into Tool Builders

Discover how security leaders use AI coding assistants and tiered sandboxes to empower frontline analysts to prototype faster without production risk.
Can AI Agents Catch Their Own Mistakes? Evaluating for Self-Correction
Artificial Intelligence
12 minutes

Can AI Agents Catch Their Own Mistakes? Evaluating for Self-Correction

Evaluate the effectiveness of AI agent self-reflection to determine when internal revision passes actually improve accuracy versus when they introduce new errors.