すべてのSkill (11,660)

Design NoSQL database schemas for MongoDB and DynamoDB.

Build production-ready Express.js servers with middleware, authentication, routing, and database integration.

Configure Nginx web server for high-performance reverse proxy, load balancing, SSL/TLS, caching, and API gateway functionality.

Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch a…

Configure network security groups and firewall rules to control inbound/outbound traffic and implement network segmentation.

Debug network issues using browser tools and network analysis.

Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational str…

Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis

Evaluate test suite quality by introducing code mutations and verifying tests catch them.

Design and implement multi-cloud strategies spanning AWS, Azure, and GCP with vendor lock-in avoidance, hybrid deployments, and federation.

Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow

Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt

Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks

Create and manage mocks, stubs, spies, and test doubles for isolating unit tests from external dependencies.

Implement offline-first mobile apps with local storage, sync strategies, and conflict resolution.

Design for mobile devices first, then scale up to larger screens.

Comprehensive mobile app testing strategies for iOS and Android.

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

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

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

Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability

Profile and optimize application memory usage.

Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools.

Master markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting.