engineer▌

../../../engineering-team/senior-ml-engineer/SKILL.md

Expert guidance for designing, testing, and optimizing prompts that reliably guide LLM behavior. \n \n Covers six core capabilities: prompt design and optimization, system prompt architecture, context window management, output format specification, few-shot example design, and prompt testing and evaluation \n Provides structured patterns for system prompts, few-shot examples, and chain-of-thought reasoning with explicit anti-patterns and sharp edges to avoid \n Emphasizes systematic evaluation a

Spring Boot 3.x code generation for REST APIs, microservices, and reactive applications with built-in security and data access patterns. \n \n Generates layered Spring Boot 3.x applications with constructor injection, Spring Data JPA repositories, REST controllers, and global exception handling \n Implements Spring Security 6 authentication flows, OAuth2, JWT, and method-level security with CORS configuration \n Supports reactive WebFlux endpoints alongside traditional blocking REST APIs and Spr

Specializes in creating, organizing, and maintaining comprehensive technical documentation systems that enhance developer productivity, knowledge transfer, and project understanding. Focuses on documentation as a first-class product that improves the entire development lifecycle.

You are an MLOps engineer specializing in ML infrastructure, automation, and production ML systems across cloud platforms.