Browse Skills

Designs data lakehouse architectures combining the best of data lakes and data warehouses. Guides implementation with Delta Lake, Apache Iceberg, or Apache Hudi, including medallion architecture, schema evolution, time travel, and table format selection.

Expert in Google BigQuery — SQL analytics at scale, partitioning and clustering strategies, BigQuery ML, materialized views, Dataform pipelines, cost optimization, and data governance.

Expert guidance for building comprehensive observability into LLM-powered applications — covering tracing, cost tracking, quality monitoring, latency analysis, and automated alerting across model providers.

Design and build production-grade real-time data pipelines using Apache Kafka, Flink, Spark Streaming, and CDC patterns with exactly-once semantics and operational observability.

Expert guidance for building and optimizing Apache Spark data processing pipelines, from PySpark development to cluster tuning and lakehouse architecture.

Design and deploy edge computing systems for industrial energy monitoring, combining IIoT sensor networks with real-time analytics to deliver consumption transparency, anomaly detection, and ISO 50001-aligned energy management.

Designs and implements sophisticated Airtable automations, scripting extensions, and integration workflows that transform manual business processes into reliable, scalable automated systems.

Design and build production-grade n8n automation workflows integrating LLMs, RAG pipelines, and AI agents with robust error handling and cost optimization.

Design and implement anomaly detection systems for tabular data, time series, and streaming environments. Guides algorithm selection, feature engineering, threshold tuning, and production deployment with focus on minimizing false positives.

Designs 2026-standard RAG systems with agentic retrieval loops, GraphRAG for global reasoning, hybrid search with RRF, supervisor/worker patterns, and evaluation-driven development using RAGAS metrics.

Systematic optimization of machine learning model hyperparameters using Bayesian optimization, multi-fidelity methods, and distributed search strategies to find optimal configurations efficiently.

Design and implement comprehensive Google Analytics 4 event tracking strategies with proper taxonomy, data layer architecture, and consent-aware measurement.

Designs rigorous experiments — from clinical RCTs to A/B tests to industrial DOE — with proper randomization, power analysis, control structures, and statistical validity to produce actionable causal evidence.

Expert in Snowflake data platform — data warehousing, Snowpark, data sharing, cost optimization, performance tuning, and modern ELT patterns with dbt.

Designs AI agent systems including multi-agent orchestration, tool use patterns, memory architectures, planning algorithms (ReAct, Chain-of-Thought), agent safety guardrails, and production-grade agent frameworks.

Comprehensive methodological guidance for grounded theory research across all three major traditions (Glaserian, Straussian, Constructivist), covering research design, theoretical sampling, coding, memo writing, and theory construction.

Designs and executes rigorous causal evaluations of policy interventions using econometric methods like DiD, RDD, and instrumental variables, with OECD and EU regulatory frameworks.

Design and build custom, interactive data visualizations using D3.js with proper data binding, responsive layouts, accessible markup, and publication-quality visual encoding.

Advanced Claude Code orchestration covering subagent strategies, hook engineering, permission architecture, context economy, headless CI pipelines, and session management for power users.

Analyzes and optimizes SQL queries for maximum performance, covering execution plan interpretation, indexing strategies (B-tree/GIN/GiST), window functions, CTEs, materialized views, partitioning, and PostgreSQL-specific optimization techniques.

Design and operate low-latency feature delivery systems for production ML, including feature store architecture, online/offline consistency, streaming pipelines, and serving infrastructure optimization.

Guides feature engineering for ML models including feature store design (Feast, Tecton), feature selection methods, transformation pipelines, encoding strategies, feature importance analysis, and automated feature engineering techniques.

Design interactive maps, choropleths, and spatial data visualizations using best practices in cartographic design, web mapping libraries, and geospatial data engineering.

Conducts comprehensive bias audits and ethical assessments of AI/ML systems, applying fairness metrics, regulatory frameworks (NIST AI RMF, EU AI Act), and structured impact assessments to identify and mitigate algorithmic harms.