Search Skills

Critically evaluates code review feedback for technical validity, preventing blind implementation and ensuring code quality improvements.

Toolkit for processing whole slide pathology images, including tile extraction, tissue segmentation, and dataset preparation for deep learning in computational pathology.

Manages biological datasets with FAIR principles, ensuring traceability, reproducibility, and integration with scientific workflows and MLOps platforms.

Enables probabilistic modeling and analysis of single-cell omics data, including scRNA-seq, scATAC-seq, and spatial transcriptomics, for tasks like batch correction and cell type annotation.

Python interface for mass spectrometry data analysis, enabling proteomics and metabolomics workflows with file handling and quantitative processing.

Automates debugging and fixing failing GitHub Actions CI/CD checks by analyzing logs, generating a fix plan, and implementing changes upon approval.

High-level PyTorch framework simplifying training loops with distributed computing, callbacks, and minimal boilerplate for scalable machine learning development.

Comprehensive toolkit for processing and analyzing physiological signals including EEG, ECG, and EDA for scientific research and clinical applications.

Analyzes product screenshots to extract feature lists and generate development task checklists for competitive analysis and PRD creation.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware using GGUF quantization for efficiency.

Provides rapid bioinformatics queries via CLI and Python, accessing multiple biological databases for sequence analysis and research.

Delivers accurate answers using Railway's official documentation to address queries about features, deployment, and platform functionality.

Expert guidance for PyTorch FSDP training with parameter sharding, mixed precision, and CPU offloading in distributed deep learning.

Builds scalable data pipelines, ETL/ELT systems, and data infrastructure using Spark, Airflow, and dbt for data modeling and orchestration.

Extends transformer model context windows using RoPE, YaRN, ALiBi, and position interpolation for processing long documents (32k-128k+ tokens).

Generates testable hypotheses from observations, designs experiments, and explores competing explanations for scientific inquiry across domains.

Provides a library for training and experimenting with reinforcement learning agents using algorithms like PPO and SAC in Gym environments.

Framework for building, simulating, and executing quantum circuits, supporting quantum algorithms and hardware integration.

Provides production-grade PDF processing for forms, tables, OCR, and batch operations with robust validation and error handling.

Comprehensive toolkit for building AI data pipelines including ETL workflows, vector embeddings, and knowledge graphs via CocoIndex library.

Conducts code reviews adhering to Sentry's engineering standards, covering security, performance, testing, and design in pull requests.

Removes unnecessary AI-generated code elements like redundant comments, defensive checks, and type casts while aligning with main branch style consistency.

Provides genomic data analysis and visualization for NGS workflows, including BAM to bigWig conversion, QC metrics, and heatmaps for ChIP-seq, RNA-seq, and ATAC-seq.

ISO 13485 QMS specialist for medical device companies, providing implementation, compliance, and certification support.