Data Science & ML Agent Skills

RAG System Implementation

Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge bases and vector databases.

ML Pipeline Workflow Orchestrator

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

Scientific Schematics

Generates publication-quality scientific diagrams and neural network architectures with AI-powered quality review.

RDKit Cheminformatics

Performs advanced molecular analysis and manipulation using the RDKit toolkit for drug discovery and computational chemistry.

PyTorch Geometric (PyG)

Builds and trains Graph Neural Networks (GNNs) for deep learning on irregular structures and relational data.

Ensembl Genome Database

Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomic data for over 250 species.

PyMC Bayesian Modeling

Build and validate sophisticated Bayesian models using PyMC's modern probabilistic programming API.

LatchBio Integration

Builds and deploys bioinformatics workflows using the Latch SDK and serverless cloud infrastructure.

scvi-tools

Analyzes single-cell omics data using deep generative models and probabilistic inference within the scvi-tools framework.

Advanced Prompt Engineering Frameworks

Optimizes LLM performance through advanced prompt patterns including few-shot learning, chain-of-thought reasoning, and modular template systems.

Biomni Biomedical Agent

Executes complex biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation via autonomous AI agents.

COBRApy Metabolic Modeling

Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy framework.

Scholar Evaluation

Evaluates scholarly research and academic papers using the ScholarEval framework to provide structured quality assessments and quantitative scoring.

Reactome Pathway Analysis

Interfaces with the Reactome REST API to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.

Data Commons Client

Accesses and queries global statistical data from Data Commons to provide programmatic insights into demographics, economics, and environmental indicators.

OpenAlex Scholarly Database

Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex API for comprehensive bibliometric research.

DrugBank Database Explorer

Accesses and analyzes comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and safety analysis.

Senior ML/AI Engineer

Productionizes machine learning models and builds scalable AI systems with deep expertise in MLOps, RAG architectures, and high-performance inference.

Senior Prompt Engineering

Optimizes AI model performance and system architecture through advanced prompt engineering, RAG frameworks, and agentic design patterns.

Advanced Excel & Financial Modeling Toolkit

Manipulates Excel files with dynamic formulas, professional financial formatting, and automated validation for error-free data analysis.

LangChain4j Spring Boot Integration

Integrates LangChain4j into Spring Boot applications using auto-configuration and declarative AI Services.

SymPy Symbolic Math

Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.

Cosmic Database

Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) for precision oncology and genomic research.

Clinical Decision Support (CDS) Generator

Generates professional, publication-ready clinical decision support documents, biomarker-stratified cohort analyses, and evidence-based treatment guidelines.

LangChain4j MCP Server Patterns

Implements Model Context Protocol (MCP) servers using LangChain4j to bridge AI models with enterprise tools and data resources.

Advanced Prompt Engineering Framework

Implement and optimize production-grade prompt patterns including few-shot learning and chain-of-thought reasoning for enhanced LLM performance.

Benchling R&D Integration

Automates laboratory data management and R&D workflows by integrating Benchling's registry, inventory, and ELN systems via Python SDK and REST API.

DNAnexus Integration

Integrates Claude with the DNAnexus cloud genomics platform to develop bioinformatics pipelines, manage data, and orchestrate workflows.

Metabolomics Workbench Database

Accesses and queries the NIH Metabolomics Workbench repository for metabolite structures, experimental study data, and standardized nomenclature.

Aeon Time Series ML

Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.