3. Data, Science & AI

Builds interactive dashboards to measure learning program effectiveness and correlate with business outcomes through data visualization.

Guides interpretation of backtest results and detection of overfitting in quantitative trading strategies and model validation.

Provides semantic search over pod network knowledge base using RAG to retrieve relevant documentation, code examples, and best practices for pod-specific development.

Executes walk-forward validation and Phase 5 robustness testing for QuantConnect trading strategies to prevent overfitting and ensure model reliability.

Analyzes learner behavior, progress, and outcomes to deliver data-driven insights for educational improvement.

Organizes responsibility scope and role division to extract necessary information for AI agent definition.

Generates personalized learning content recommendations using AI based on learner profiles, performance, and analytics for adaptive learning systems.

Designs stateful rules for correlating multiple events over time, tracking relationships, and counting occurrences within defined timeframes.

Provides a production-ready framework for building and orchestrating multi-agent AI systems with signature-based programming and enterprise features.

Optimizes search performance for learning content management systems and knowledge bases using AI-driven semantic search and information retrieval.

Provides Acuantia-specific data pipeline patterns for BigQuery Dataform, including ODS ref() syntax, Looker integration, and dataset conventions.

Detects plagiarism and validates originality in educational materials using text analysis.

Enforces TDD, proper reference syntax, and documentation for BigQuery Dataform transformations to prevent technical debt in data pipelines.

Generates Apache Airflow ETL pipelines to scrape government websites, verify document licenses, and automate daily document collection workflows.

Composes final prompts for AI music rendering engines by merging style, lyrics, and producer notes while enforcing format and policy compliance.

Guides users through connecting external data sources, cloud logs, and SaaS applications to LimaCharlie via adapter configuration and credential management.

Builds production-grade full-stack AI systems with RAG pipelines, vector databases, and end-to-end architecture decisions.

Assists users in crafting, optimizing, and understanding LimaCharlie Query Language (LCQL) for efficient telemetry data search and analysis.

Creates interactive HTML reports, dashboards, and visualizations for LimaCharlie security data, serving them locally.

Calculates takeoff and landing performance for Cirrus SR22T aircraft using weather and runway data to provide safety margins and briefing scripts.

Mines AI research insights and generates professional LaTeX reports for creta.mx, the Center for Research on Economics and Technology Applications.

Processes large PDFs (>10-15MB) using chunking, text/table extraction, and OCR for scanned documents.

Builds high-performance EUR/CAD forex trading bots using IBKR, data-driven strategies, and news sentiment analysis for high win-rate trading in demo and live environments.

Generates custom, interactive data visualizations with fine-grained control using d3.js for complex charts, graphs, and geographic maps.