Data Science & ML Agent Skills

Modern Earthquake Cave Validation

Validates speleothem-based paleoseismic research by testing cave geochemical records against modern earthquake catalogs.

Microsoft Agent Framework for .NET

Builds and orchestrates sophisticated AI agents and multi-agent workflows using the Microsoft Agent Framework for .NET applications.

GenAI Video Generation

Generates high-quality videos and animations from text or images using the Google GenAI Veo 3.1 model.

Financial Modeling Suite

Builds advanced financial models including DCF analysis, Monte Carlo simulations, and scenario planning for data-driven investment decisions.

OpenRouter Multi-Model Gateway

Integrates 300+ AI models into Claude Code for specialized tasks, high-fidelity image generation, and cross-model reasoning.

DuckDB & MotherDuck Analytics

Streamlines building high-performance OLAP applications using DuckDB, MotherDuck, and Parquet in Node.js and TypeScript.

Multimodal Media Analysis

Analyzes and extracts deep insights from images, videos, and audio files using advanced AI models.

Airflow DAG Patterns

Builds production-ready Apache Airflow DAGs using industry-standard patterns for orchestration and data engineering.

LLM Evaluation Framework

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.

Data Storytelling

Transforms complex datasets into persuasive narratives and executive-ready presentations using proven storytelling frameworks.

Embedding Strategies for RAG

Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application accuracy.

MLOps Pipeline Orchestrator

Builds and automates end-to-end MLOps pipelines from data ingestion and preparation through model training, validation, and production deployment.

RAG Implementation Expert

Builds production-grade Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search for LLM applications.

Vector Index Optimization

Optimizes vector database indexes for production performance by balancing search latency, recall accuracy, and memory consumption.

LangChain Architecture Design

Builds sophisticated LLM applications using the LangChain framework to implement autonomous agents, complex workflows, and persistent memory.

Quantitative Backtesting Frameworks

Builds production-grade backtesting systems for trading strategies while mitigating common biases and accounting for realistic market costs.

Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies and investment management.

Prompt Engineering Patterns

Optimizes Large Language Model performance through advanced reasoning patterns, few-shot learning, and structured prompt templates.

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for semantic retrieval and RAG systems.

Hybrid Search Implementation

Combines vector similarity and keyword-based search to optimize retrieval accuracy in RAG systems and search engines.

Prompt Engineering Lab

Creates, optimizes, and debugs high-performing, production-ready prompts for Claude 4, GLM 4.7, and Gemini 3 using evidence-based techniques.

Biological Sequence I/O

Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.

NCBI BLAST Search

Performs NCBI BLAST sequence similarity searches using BioPython to identify homologous DNA or protein sequences.

Local BLAT DNA Alignment

Performs high-speed local DNA sequence alignment against hg38 and CHM13 genomic references without external API dependencies.

BAM Alignment Toolkit

Analyzes genomic alignment files to extract reads, identify insertions and deletions, and calculate coverage statistics for WGS and WES data.

VCF Variant Analysis Toolkit

Analyzes, filters, and exports genomic variant data from VCF and BCF files for bioinformatics and sequencing workflows.

COSMIC Cancer Gene Toolkit

Queries and annotates genomic data using the COSMIC Cancer Gene Census to identify known cancer genes and their clinical properties.

IGV Integration

Automates IGV snapshot generation for visualizing genomic alignments and variant calls in BAM files.

Gemini Image Generator

Generates high-quality images from text prompts using Google Gemini 3 Pro via the fal.ai API.

Veo 3.1 Consistent Video Generation

Generates high-quality videos with consistent subject appearance using Google’s Veo 3.1 model and reference images.