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aj-geddes

aj-geddes

259 Skills published on GitHub.

memory-optimization

Profile and optimize application memory usage. Identify memory leaks, reduce memory footprint, and improve efficiency for better performance and reliability.

memory-managementmemory-leak-detectionprofilingperformance-tuning
memoryView skill →

kpi-dashboard-design

Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.

dashboardsdata-visualizationmetricskpi
visualizationView skill →

memory-leak-detection

Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.

memory-managementroot-cause-analysismemory-profilingleak-detectionheap-snapshots
memoryView skill →

intermittent-issue-debugging

Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.

root-cause-analysismonitoringtroubleshooting
maintenanceView skill →

log-aggregation

Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.

logsmonitoringelk-stacklokisplunk
integrationView skill →

ios-swift-development

Develop native iOS apps with Swift. Covers MVVM architecture, SwiftUI, URLSession for networking, Combine for reactive programming, and Core Data persistence.

iosswiftswiftuimvvmcore-data
developmentView skill →

kubernetes-deployment

Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.

kubernetescontainer-orchestrationcluster-managementbest-practices
deployView skill →

markdown-documentation

Master markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting. Use when writing markdown docs, READMEs, or formatting documentation.

markdownGitHub-Flavored-MarkdownREADMEformatting
docsView skill →

logging-best-practices

Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.

best-practiceslogsstructured-logginglog-levelsobservability
developmentView skill →

ML Model Explanation

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

machine-learningexplainable-aishaplimefeature-importance
analyticsView skill →

jenkins-pipeline

Build Jenkins declarative and scripted pipelines with stages, agents, parameters, and plugins. Implement multi-branch pipelines and deployment automation.

jenkinsci-cdpipelinebuild
ciView skill →

load-balancer-setup

Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.

network-servicesawsload-balancinghigh-availability
deployView skill →

log-analysis

Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.

logsroot-cause-analysislog-aggregationstructured-logging
analyticsView skill →

integration-testing

Design and implement integration tests that verify component interactions, API endpoints, database operations, and external service communication. Use for integration test, API test, end-to-end component testing, and service layer validation.

integration-testinge2e-testingapidatabaseservice-testing
verifyView skill →

Neural Network Design

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

pytorchtensorflowneural-network-architecturestransformersattention-mechanisms
architectureView skill →

ML Model Training

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

machine-learningdeep-learningpytorchtensorflowscikit-learn
analyticsView skill →

mobile-first-design

Design for mobile devices first, then scale up to larger screens. Create responsive interfaces that work seamlessly across all device sizes.

responsive-designmobile-firstuxweb-design
uiView skill →

mobile-app-debugging

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

mobile-developmentdebuggingnetwork-troubleshootingerror-handling
developmentView skill →

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