engineer▌

Design, optimize, and evaluate LLM prompts for maximum accuracy and efficiency. \n \n Covers prompt patterns including zero-shot, few-shot, chain-of-thought, and ReAct, with before/after optimization examples \n Provides structured workflow from requirements definition through testing, iteration, and production deployment with validation checkpoints \n Includes evaluation frameworks, metrics, and test suite generation to measure and improve model performance \n Supports structured output design

Transform functional UI into visually stunning interfaces without design mockups. \n \n Specializes in visual enhancement, micro-interactions, and creative styling using modern CSS, Tailwind, and animation libraries like Framer Motion \n Covers color theory, typography hierarchy, spacing systems, and accessibility standards (WCAG AA contrast, keyboard navigation, reduced-motion support) \n Includes reusable patterns for glassmorphism cards, skeleton loaders, and common UI components with product

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

Generates optimized prompts tailored to specific models and identity methods. Different models respond differently to prompts.

Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. \n \n Handles ownership patterns, lifetime annotation, borrowing design, and trait hierarchies with generics and associated types \n Implements async/await applications with tokio, concurrent task spawning, and proper error propagation via Result/Option \n Enforces validation through cargo clippy, rustfmt, and comprehensive testing (unit, integration, doctests) \n Minimizes unsafe code with documented

Comprehensive guide for modern React development, emphasizing Suspense-based data fetching, lazy loading, proper file organization, and performance optimization.

Role: RAG Systems Architect

SRE practices for defining SLOs, managing error budgets, automating toil, and building resilient production systems. \n \n Defines quantitative SLOs with SLI measurements, calculates error budgets, and enforces burn-rate policies to balance reliability with feature velocity \n Provides golden signal monitoring (latency, traffic, errors, saturation) with multiwindow burn-rate alerting rules and PromQL query templates \n Includes automation patterns for toil reduction, chaos engineering test desig

Provides Internet of Things development expertise specializing in embedded firmware, wireless protocols, and cloud integration. Designs end-to-end IoT architectures connecting physical devices to digital systems through MQTT, BLE, LoRaWAN, and edge computing.

Provides Apache Kafka and event streaming expertise specializing in scalable event-driven architectures and real-time data pipelines. Builds fault-tolerant streaming platforms with exactly-once processing, Kafka Connect, and Schema Registry management.