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aj-geddes

aj-geddes

279 Skills published on GitHub.

health-check-endpoints

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idempotency-handling

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image-optimization

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incident-response-plan

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information-architecture

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infrastructure-cost-optimization

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infrastructure-monitoring

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integration-testing

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interaction-design

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intermittent-issue-debugging

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internationalization-i18n

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ios-swift-development

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jenkins-pipeline

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kpi-dashboard-design

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kubernetes-deployment

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load-balancer-setup

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log-aggregation

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log-analysis

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logging-best-practices

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markdown-documentation

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memory-leak-detection

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memory-optimization

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microservices-architecture

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ML Model Explanation

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

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ML Model Training

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

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ML Pipeline Automation

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

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mobile-app-debugging

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mobile-app-testing

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mobile-first-design

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mobile-offline-support

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mocking-stubbing

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Model Deployment

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

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Model Hyperparameter Tuning

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

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Model Monitoring

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

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monorepo-management

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multi-cloud-strategy

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mutation-testing

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Natural Language Processing

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

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Network Analysis

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

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network-debugging

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network-security-groups

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Neural Network Design

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

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nginx-configuration

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nodejs-express-server

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nosql-database-design

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oauth-implementation

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payment-gateway-integration

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penetration-testing

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performance-regression-debugging

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performance-testing

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