Data Science & ML Habilidades de Claude

AI LLM Development & Engineering

Guides the full lifecycle of large language model systems from architecture selection and dataset design to production deployment and monitoring.

Machine Learning Model Training

Trains production-ready machine learning models using industry-standard frameworks like scikit-learn, PyTorch, and TensorFlow.

AI SDK Core Integration

Implements Vercel AI SDK v5 for robust server-side AI tasks, including text generation, structured data, and agentic tool calling across multiple providers.

TanStack AI Integration

Builds type-safe, provider-agnostic AI chat interfaces and agentic workflows using TanStack AI's streaming and tool-calling capabilities.

OpenAI Agents SDK Skill

Builds multi-agent workflows, realtime voice applications, and structured AI integrations using the OpenAI Agents SDK.

Google Gemini API Integration

Integrates the 2025 Google Gemini 2.5 API using the modern @google/genai SDK for multimodal reasoning and long-context AI workflows.

ElevenLabs AI Voice Agents

Build, deploy, and manage production-ready conversational AI voice agents with low-latency ASR, TTS, and turn-taking models.

Google Gemini File Search

Integrates Google Gemini's managed RAG capabilities to provide high-performance document Q&A and knowledge base search across 100+ file formats.

Recommendation Engine Builder

Implements advanced recommendation systems using collaborative filtering, matrix factorization, and hybrid algorithms for personalized user experiences.

Google Gemini Embeddings

Implements Google Gemini embeddings API for high-performance RAG and semantic search applications.

ML Model Deployment & MLOps

Deploys machine learning models into production using FastAPI, Docker, and Kubernetes while ensuring robust monitoring and drift detection.

Microsoft Agent Framework

Architects production-grade AI agents and multi-agent workflows using Microsoft's unified framework for Python and C#.

Benchmark Manager for AILANG

Creates, manages, and debugs AILANG evaluation benchmarks to ensure high-fidelity AI reasoning and syntax performance.

Multi-Model AI Council

Generates consensus-driven technical decisions by synthesizing insights from Claude, Codex, and Gemini through a three-stage voting pipeline.

SWE-bench Lite Benchmark Runner

Evaluates MCP servers using the SWE-bench Lite dataset to measure software engineering performance and accuracy.

Evolutionary Metric Ranking

Optimizes multi-metric configuration selection using evolutionary search and percentile-based cutoff filtering for quantitative research.

Data Gouv

Accesses, downloads, and analyzes French public datasets from the official data.gouv.fr portal using specialized Python tools and documentation.

T and B Cell Selection Tool

Automates the isolation of T and B cell populations from mixed single-cell datasets using marker gene expression and VDJ clonotype data.

Metaxy Metadata Manager

Manages and tracks feature versions, dependencies, and data lineage for multi-modal data and machine learning pipelines.

Backtesting Oracle Validation

Configures backtesting.py for SQL oracle validation and high-precision range bar pattern analysis.

Prompt Optimizer

Refines and restructures AI prompts using engineering best practices to improve output quality and model performance.

Pandera Data Validation

Validates pandas DataFrames using Pandera to ensure data integrity and type safety in Python data pipelines.

Data Profiler

Generates detailed statistical profiles and correlation analysis for DataFrames to accelerate exploratory data analysis.

Pydantic Data Validation

Implements robust, record-level data validation using Pydantic models for reliable ETL and API workflows.

Data Anomaly Detector

Detects and analyzes outliers in diverse datasets using a combination of statistical methods and machine learning algorithms.

ETL Core Reliability Patterns

Implements production-grade ETL patterns including idempotency, checkpointing, and robust error handling for data pipelines.

Exploratory Data Analysis

Performs systematic data profiling and visualization to uncover patterns and assess data quality before modeling.

Chain of Verification (CoVe) Prompting

Enhances factual accuracy and minimizes hallucinations by implementing a structured self-verification loop in prompt design.

Volatility Modeling & Forecasting

Forecasts market volatility and interprets options-implied measures using advanced time-series models and volatility surface analysis.

Qdrant Vector Database

Manages vector embeddings and semantic search operations through the Qdrant REST API.