3. Data, Science & AI

Transforms Knack operational data into visual summaries and actionable insights for stakeholders using AI-driven analysis.

Automates pagination for Knack API to retrieve full datasets beyond 1,000-record limits, enabling efficient inventory and compliance data access.

Creates MCP servers to integrate external tools with large language models (LLMs), enabling seamless tool usage in AI applications.

Specializes in audio fingerprinting and pattern detection for content analysis, enabling precise audio identification and matching through signal processing techniques.

Provides operations for editing, reading, executing, and converting Jupyter notebooks (.ipynb) including cell management and format conversion to HTML/PDF.

Builds and designs Glif AI workflows for creating new AI agents and structuring workflow blocks.

Specializes in R 4.4+ development for data analysis pipelines, visualizations with tidyverse/ggplot2, and Shiny application deployment.

Conducts exploratory data analysis including data cleaning and visualization for new datasets upon user request.

Guides building LLM applications using LangChain, covering chains, prompts, memory, and retrievers for efficient AI development.

Validates audio features within Leavn's complex audio processing pipeline to ensure architectural coherence and functionality.

Specializes in optimizing JSON/YAML serialization, schema validation, and format conversion for efficient LLM data transmission in modern applications.

Manages enterprise AI sessions with token budget optimization and state persistence for efficient LLM context handling.

Enables delegation of complex autonomous tasks to Manus AI, including web browsing, code execution, and file generation via AI agent integration.

Integrates Nano-Banana AI service for content generation, image creation, and AI-powered workflows.

Validates CloudKit data synchronization across multiple devices for Leavn, ensuring data integrity and consistency.

Fetches and processes NBA player and team statistics for structured analysis, supporting the sports picker model with basketball data.

Core principles for building AI development workflows, featuring TRUST 5, SPEC-First TDD, agent delegation, and token optimization.

Specializes in database design and management for modern applications using PostgreSQL, MongoDB, and Redis with advanced data patterns.

Executes Glif AI workflows for image and text generation via API, enabling seamless integration into applications.

Provides APIs for symmetry analysis, Lyapunov exponent calculation, and period detection in Cellular Automata to measure stability and classify dynamic behavior.

Filters and classifies AI research content by relevance, topic, and author for efficient bulk triage before claim extraction.

Provides isolated context for AI tasks via named pipes, enabling batch processing of large files and avoiding context pollution in summarization workflows.

Enables implementation of hybrid simulations using Particle-Lenia and Flow-Lenia systems for reaction-diffusion and mass-conserving cellular automata.

Analyzes weekly learning records in Markdown files to generate statistical insights and review materials for educational purposes.