Data Science & ML Habilidades de Claude

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for AI-driven applications.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.

LLM Evaluation & Metrics

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.

Denario Academic Research Assistant

Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.

Denario Scientific Research Automation

Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.

Biomni Biomedical AI Agent

Automates complex biomedical research tasks including drug discovery, genomics analysis, and CRISPR screening design using an autonomous AI agent framework.

DNAnexus Integration

Integrates Claude with the DNAnexus cloud platform to build genomic apps, manage biomedical data, and automate bioinformatics workflows using the dxpy SDK.

DrugBank Database & Pharmacology Analysis

Access and analyze comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and chemical property analysis.

ClinVar Database Navigator

Queries and interprets NCBI ClinVar data to identify genetic variant clinical significance and pathogenicity.

LLM Evaluation Framework

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

RAG Implementation Expert

Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.

Document Ranking & Scoring

Organizes and prioritizes retrieved documents using vector similarity metrics to optimize RAG performance.

GIS Web Mapping

Generates production-ready React-Leaflet components and interactive geographic information system (GIS) interfaces using TypeScript.

Hybrid Search Implementation

Combines vector similarity and keyword-based search to optimize retrieval accuracy for RAG systems and search engines.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to maximize LLM reliability, reasoning capabilities, and structured output quality.

Advanced Excel & Spreadsheet Automation

Automates the creation, professional formatting, and deep analysis of Excel workbooks using industry-standard modeling practices.

Frontier Research Explorer

Identifies cutting-edge research, recent breakthrough papers, and emerging concepts in any domain to enhance advanced AI prompting.

Advanced Excel & Financial Modeling

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and controllability in production environments.

LangChain Architecture

Designs and implements sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.

MLOps Pipeline Workflow

Orchestrates end-to-end machine learning lifecycles from data preparation and training to production deployment and monitoring.

Prompt Engineering Patterns

Master advanced techniques to maximize LLM performance, reliability, and controllability in production environments.

AgentDB Vector Search

Implements high-performance semantic vector search and intelligent document retrieval for RAG systems using HNSW indexing and quantization.

RAG Implementation Guide

Implements robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and trajectory tracking for self-improving AI agents using AgentDB's ultra-fast vector backend.

Flow Nexus Neural Networks

Trains and deploys complex neural networks within distributed E2B sandboxes for scalable machine learning workflows.

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain with advanced agent patterns, persistent memory, and modular tool integrations.

AgentDB Memory Patterns

Empowers AI agents with persistent, high-performance memory and learning patterns using AgentDB and ReasoningBank.

LLM Application Development

Builds robust AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.