Data Science & ML Habilidades de Claude

RAG Systems Implementation

Implements advanced Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search to ground LLM responses in external knowledge.

xAI Financial Intelligence & Data Integration

Integrates real-time xAI Grok sentiment with major financial APIs to provide a holistic view of market trends, price action, and fundamental health.

Prompt Engineering Expert

Architects high-performance LLM prompts and multi-agent systems using advanced reasoning patterns and optimization techniques.

Prompt Optimization Specialist

Refines and enhances AI prompts to improve model performance and output accuracy using a structured analysis framework.

Semantik Plugin Development

Builds custom plugins for the Semantik search engine to handle document ingestion, embeddings, and AI-powered reranking.

Auto-Claude Memory System

Implements a persistent knowledge graph memory system for Auto-Claude to retain context and learn patterns across development sessions.

Memory Manager

Persists project knowledge and error-solution patterns across autonomous coding sessions to prevent repetitive mistakes.

Prompt Optimizer

Transforms raw prompts into optimized, production-ready instructions using advanced prompt engineering techniques and model-specific optimizations.

xAI Grok Model Selector

Simplifies the selection and optimization of xAI Grok models for development tasks through detailed capability and cost analysis.

Amazon Bedrock Knowledge Bases

Builds and manages fully managed RAG solutions using Amazon Bedrock for semantic search and document-based AI applications.

Memory System Architecture

Design and implement multi-layered memory architectures for AI agents to ensure long-term state persistence and entity consistency.

Memory Manager

Persists learned solutions and error patterns across autonomous coding sessions to create a self-healing development environment.

Microsoft Agent Patterns

Orchestrates complex multi-agent systems using Microsoft Agent Framework patterns like AutoGen and Semantic Kernel.

Physics Analysis Spec Builder

Generates and refines structured physics analysis specifications using standardized templates and domain-specific best practices.

PyMC Bayesian Modeling

Streamlines the creation, sampling, and diagnostics of Bayesian statistical models using PyMC and ArviZ.

Twelve Data Financial API

Integrates comprehensive financial market data for stocks, forex, crypto, and technical indicators into the Claude environment.

Twelve Data Financial API

Integrates Twelve Data for real-time and historical financial market data across stocks, forex, crypto, and technical indicators.

AgentsDB Learning Patterns

Implements self-learning agent workflows by tracking operational trajectories and recognizing successful automation patterns.

xAI Grok Model Selection Guide

Provides comprehensive guidance and technical specifications for selecting and optimizing xAI Grok models within developer workflows.

Claude Opus 4.5 Expert Guide

Provides comprehensive guidance on leveraging Claude Opus 4.5, including reasoning control via the effort parameter and performance optimization.

Amazon Bedrock Model Customization

Customizes and optimizes Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.

Agent Memory System

Implements a multi-layered persistent memory architecture that enables AI agents to learn from experience and retain knowledge across sessions.

Advanced LLM Evaluation

Implements production-grade LLM-as-a-Judge techniques for evaluating AI outputs through rigorous scoring, pairwise comparisons, and bias mitigation.

Alpha Vantage Financial Data

Integrates Alpha Vantage APIs to fetch real-time and historical market data, technical indicators, and financial fundamentals.

Awkward Array 2.0 Development

Streamlines the development of Python workflows using Awkward Array for jagged, nested, and record-based data structures.

Similarity Search Patterns

Implement efficient vector-based similarity search, semantic retrieval, and RAG patterns across major vector databases.

Experiment Advisor

Proposes structured, data-driven experiment plans by analyzing historical training reports, logs, and research goals.

Context Compression Strategies

Optimizes long-running AI agent sessions by implementing structured context compression to maintain technical accuracy and memory efficiency.

FinnHub Financial Data

Integrates Claude with the FinnHub API to retrieve real-time stock quotes, fundamental data, crypto prices, and market news.

Senior Prompt Engineer & AI Architect

Implements production-grade prompt engineering patterns, RAG optimization, and agentic system architectures for advanced AI products.