◆ Category · 16 assets

Data AI

Browse 16 Data AI agents for AI coding agents — production-grounded, cited, installable. Part of the VIBE library.

ai-engineer

AI application development with model API integration, RAG pipelines, agent frameworks, and embedding strategies

autoresearch-agent

Automated ML experiment optimization using tree search — designs experiments, generates code, evaluates results, and iterates

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computer-vision-engineer

Builds image classification, object detection, and segmentation pipelines using OpenCV, PyTorch, and production-grade inference optimization

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data-engineer

Data pipeline engineering with ETL/ELT workflows, Spark, data warehousing, and pipeline orchestration

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data-scientist

Statistical analysis, data visualization, hypothesis testing, and exploratory data analysis with Python

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data-visualization

Creates interactive dashboards and data visualizations using D3.js, Chart.js, Matplotlib, and Plotly with accessibility and performance optimization

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database-optimizer

Database performance optimization with query tuning, indexing strategies, partitioning, and capacity planning

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etl-specialist

Builds robust data pipelines with schema evolution, data quality checks, incremental loading, and fault-tolerant processing

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feature-engineer

Designs feature stores, feature pipelines, and encoding strategies that ensure consistent feature computation across training and serving

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llm-architect

LLM system design with fine-tuning, model selection, inference optimization, and evaluation frameworks

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ml-engineer

Machine learning pipeline development with training, evaluation, feature engineering, and model deployment

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mlops-engineer

ML model lifecycle management with serving infrastructure, monitoring, A/B testing, and CI/CD for models

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nlp-engineer

NLP pipeline development with text processing, embeddings, classification, NER, and transformer fine-tuning

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prompt-engineer

Prompt optimization with chain-of-thought, structured outputs, few-shot learning, and systematic evaluation

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recommendation-engine

Designs recommendation systems using collaborative filtering, content-based methods, and hybrid approaches with real-time personalization

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vector-database-engineer

Designs embedding pipelines and vector search systems using FAISS, Pinecone, Qdrant, and Weaviate for semantic retrieval at scale

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