3. Data, Science & AI

Analyzes stock market anomalies, value investment opportunities, and trends using data-driven methods for informed investment decisions.

Configures Tavus CVI personas with custom LLMs, TTS, vision (Raven), and conversation flow (Sparrow).

Builds and optimizes RAG systems using vector databases, embeddings, and reranking techniques for enhanced LLM responses.

Extracts high-value video clips from raw footage by transcribing, detecting emotional moments, and scoring for advertising potential using AI analysis.

Analyzes creative test results using statistical methods and data visualization to identify winners and recommend optimization strategies (scale, iterate, kill).

Designs and implements statistically valid A/B tests for product experimentation, ensuring reliable results through proper methodology.

Generates weekly performance reports by aggregating campaign metrics, calculating ROI/ROAS, and providing actionable insights for business reviews and client updates.

Guides AI agent project setup via VoltAgent framework, including CLI configuration and manual bootstrapping steps.

Creates database migration files in SQL format from natural language descriptions for schema versioning and management.

A TypeScript script for command-line analysis of Solana transactions, instructions, and accounts via the MCP API endpoint.

Provides foundational principles for AI-powered development workflows, including agent-based design, token optimization, and modular architecture.

Seeds DynamoDB with sample data for development and testing environments, populating galleries, inquiries, and admin tables. Never run in production.

Manages PostgreSQL database operations including connection configuration, migrations, and query optimization with Entity Framework Core integration for .NET applications.

Guides navigation and analysis of experimental data with sentiment analysis and DataFrame export capabilities.

Generates analytics reports from Olakai data via CLI, including KPI trends, ROI, risk analysis, and compliance metrics without web dashboard access.

Generates AI-powered presentation slides, decks, and pitch decks from topics or URLs, converting content into visual presentations.

Provides tools for implementing game AI systems including pathfinding, behavior trees, state machines, and combat logic for NPCs and autonomous characters.

Optimizes Supabase backend architecture with PostgreSQL SQL tuning and Row-Level Security (RLS) for secure real-time tracking applications.

Guide for using Beads (bd), a memory management and task organization tool for AI agents.

Parses and validates HL7 v2.5 IHE PAM messages, extracting segments and providing detailed explanations for patient administration workflows.

Configures LLM function calling tools for SQL, search, memory, and MCP, enabling advanced agent capabilities in model interactions.

Optimizes context management in AI agent systems, covering architecture design, token efficiency, memory systems, and multi-agent coordination for LLM-based applications.

Expert guidance for customer health scoring, churn prediction, and retention analytics using usage metrics and cohort analysis.

Generates table metadata documentation for data warehouse schema discovery, enabling instant lookups via a markdown file.