Data Science & ML Habilidades de Claude

RAG Systems Architect

Architects high-performance Retrieval-Augmented Generation systems using advanced embedding models, semantic chunking, and hybrid search optimization.

Autonomous Agent Architect

Builds reliable, production-grade AI agents using structured patterns like ReAct and Plan-Execute to ensure task success and safety.

RAG Implementation Specialist

Implements sophisticated Retrieval-Augmented Generation patterns to optimize AI accuracy through advanced chunking, vector search, and reranking strategies.

Autonomous Agent Architect

Architects reliable, production-ready AI agents by implementing structured loops, goal decomposition, and robust safety guardrails.

RAG Engineer

Architects high-performance Retrieval-Augmented Generation systems using advanced embedding, chunking, and search strategies.

RAG Implementation Specialist

Implements sophisticated Retrieval-Augmented Generation patterns including semantic chunking, hybrid search, and vector store optimization.

Professional Excel & Financial Modeling

Creates, edits, and analyzes professional-grade Excel spreadsheets with advanced financial modeling standards and error-free formula calculation.

AI Product Development

Builds production-grade AI features using robust LLM integration patterns, RAG architecture, and cost-effective prompt engineering.

Voice AI Development

Builds high-performance, low-latency voice AI applications and real-time agents using industry-standard APIs and streaming infrastructure.

Voice AI Agent Architect

Architects high-performance voice-driven AI applications with a focus on low-latency conversation and natural speech patterns.

Voice AI Development

Builds high-performance, low-latency voice AI applications and real-time conversational agents using industry-leading providers.

AI Product Engineering

Builds production-grade AI features using robust LLM integration patterns, structured output validation, and cost-effective prompt engineering.

LLM Application Patterns

Implements production-ready architectures for LLM-powered applications, including RAG pipelines, agentic workflows, and LLMOps monitoring.

Academic Research Engineer

Implements high-performance software and complex algorithms with uncompromising scientific rigor and formal verification.

Voice AI Development

Architects high-performance AI voice agents with optimized latency for natural, real-time human-AI conversations.

Academic Research Engineer

Implements high-performance software and complex algorithms with absolute scientific rigor and formal verification standards.

Advanced Excel & Financial Modeling

Creates and analyzes professional-grade spreadsheets with dynamic formulas, financial modeling standards, and automated recalculation.

AI Product Development

Builds production-grade AI features using robust LLM integration patterns, RAG architecture, and rigorous output validation strategies.

Professional Excel & Financial Modeling

Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with industry-standard financial modeling practices.

Voice Agent Architect

Designs and implements high-performance AI voice agents with low-latency conversational flows and natural interaction patterns.

AI Agents Architect

Designs and implements robust autonomous AI agents with sophisticated tool use, planning strategies, and multi-agent orchestration capabilities.

LLM Performance Evaluation

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.

LLM Prompt Caching

Optimizes LLM performance and reduces API costs by implementing advanced prefix caching, response caching, and Cache Augmented Generation strategies.

Prompt Caching & Optimization

Optimizes LLM performance and reduces API costs by implementing advanced prompt, response, and semantic caching patterns.

LLM Application Patterns

Provides production-ready architectural patterns for building robust LLM applications, covering RAG pipelines, autonomous agents, and LLMOps observability.

AI Agent Systems Architect

Architects and implements autonomous AI agent systems featuring robust tool use, memory management, and multi-agent orchestration.

Prompt Engineering Expert

Optimizes AI performance and reliability through advanced prompting patterns like Few-Shot Learning and Chain-of-Thought reasoning.

LLM Application Patterns

Provides production-ready architectural patterns and implementation guides for building robust LLM applications, RAG pipelines, and AI agents.

RAG Implementation Expert

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in external data.

LLM Prompt Caching & Optimization

Optimizes LLM performance and reduces API costs by implementing advanced caching strategies like prompt prefixes, response caching, and Cache Augmented Generation (CAG).