持續整合/部署

Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks

Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.

Manage DNS records, routing policies, and failover configurations for high availability and disaster recovery.

Manage build artifacts, Docker images, and package registries. Configure artifact repositories, versioning, and distribution strategies.

Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

Create comprehensive API reference documentation with OpenAPI/Swagger specs, REST endpoints, authentication, examples, and SDKs. Use when documenting REST APIs, GraphQL APIs, endpoint documentation, or OpenAPI specifications.

Evaluate test suite quality by introducing code mutations and verifying tests catch them. Use for mutation testing, test quality, mutant detection, Stryker, PITest, and test effectiveness analysis.

Deploy iOS and Android apps to App Store and Google Play. Covers signing, versioning, build configuration, submission process, and release management.

Implement static code analysis with linters, formatters, and security scanners to catch bugs early. Use when enforcing code standards, detecting security vulnerabilities, or automating code review.

Debug issues specific to mobile applications including platform-specific problems, device constraints, and connectivity issues.

Generate Ops Update Guide from Git Diff. Produces internal Operations-facingupdate/migration guides based on git diff analysis. Supports STRICT_NO_TOUCH (default)and TEMP_CLONE_FOR_FRESH_REFS modes. Includes tag auto-detection and commit log analysis.

Backward call-chain tracing - systematically trace bugs from error location backthrough call stack to original trigger. Adds instrumentation when needed.

Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency

Execute comprehensive disaster recovery tests, validate recovery procedures, and document lessons learned from DR exercises.

Assess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.

Technical writing specialists for functional and API documentation. Dispatch whenyou need to create guides, conceptual docs, or API references following establisheddocumentation standards.

Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.

Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability

Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins