3. Data, Science & AI

Crafts optimized text prompts for VEO's single-clip video generation model to ensure high-quality, contextually accurate outputs.

Extracts and processes text from PDFs with intelligent chunking and metadata preservation, supporting direct extraction and markdown-based workflows for technical documents and research data.

Generates engineering analysis reports with interactive Plotly visualizations, standard sections, and HTML export for dashboards and technical documentation.

Processes and transforms structured data files (CSV, Excel, JSON) with validation, cleaning, and batch export capabilities for data workflows.

Configures vector embeddings and semantic search for document collections to enable AI-powered similarity search and RAG knowledge base development.

Executes data analysis and processing workflows defined in YAML configuration files for automated pipeline execution.

Builds searchable knowledge bases from PDF, Word, and text documents for technical libraries, research databases, and standards repositories.

Comprehensive guide for developing AI agents and LLM applications, covering RAG, multi-agent systems, prompt engineering, and context engineering.

Expert in optimizing Instagram data pipelines, covering provider selection, rate limiting, and data normalization for efficient scraping and cost management.

Toolkit for creating, reading, and manipulating .xlsx files with formula support, formatting, and financial modeling for data analysis and automation.

Provides advanced prompt engineering for LLM optimization, RAG, agent design, and structured outputs in AI product development.

Builds RAG-based Q&A systems using Claude or OpenAI to enable AI assistants that answer questions from document collections and knowledge bases.

Orchestrates multiple AI agents for complex tasks using Claude Flow, enabling parallel execution and coordinated problem-solving in multi-agent workflows.

Provides scientific computing utilities in Python using NumPy, SciPy, and SymPy for engineering analysis and numerical workflows.

Designs memory architectures for AI agents to enable cross-session persistence, entity consistency, and temporal knowledge tracking in learning systems.

Adapts Claude's responses by learning from user interactions, corrections, and preferences to improve future performance.

Generates interactive data quality reports with scoring, missing data analysis, and type validation using Pandas and Plotly.

Creates highly interactive data visualizations using D3.js for dynamic web-based data representation.

Automates document collection cataloging with metadata extraction, categorization, and statistical analysis for auditing and knowledge base preparation.

Executes data processing workflows defined in YAML, handling data loading, transformation, validation, and reporting pipelines.

Performs 6DOF ship dynamics analysis including equations of motion, seakeeping, and natural frequency calculations for marine engineering applications.

Covers ocean wave theory including wave spectra, statistics, irregular seas, and wave transformation for offshore engineering.

Provides YAML-based configuration for engineering workflows, model parameters, and analysis settings in data science and AI projects.

Generates interactive scientific and analytical charts using Plotly in JavaScript and Python.