Software Development Skills

Implement Role-Based Access Control (RBAC), permissions management, and authorization policies. Use when building secure access control systems with fine-grained permissions.

Plan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.

Implement comprehensive alert management with PagerDuty, escalation policies, and incident coordination. Use when setting up alerting systems, managing on-call schedules, or coordinating incident response.

Develop native Android apps with Kotlin. Covers MVVM with Jetpack, Compose for modern UI, Retrofit for API calls, Room for local storage, and navigation architecture.

Design Angular modules using feature modules, lazy loading, and dependency injection. Use when organizing large Angular applications with proper separation of concerns.

Implement secure API authentication with JWT, OAuth 2.0, API keys, and session management. Use when securing APIs, managing tokens, or implementing user authentication flows.

Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination.

Implement API rate limiting strategies using token bucket, sliding window, and fixed window algorithms.

Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.

Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.

Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.

Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.

Implement background job processing systems with task queues, workers, scheduling, and retry mechanisms. Use when handling long-running tasks, sending emails, generating reports, and processing large datasets asynchronously.

Implement backup strategies, disaster recovery plans, and data restoration procedures for protecting critical infrastructure and data.

Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.

Debug client-side issues using browser developer tools. Identify JavaScript errors, styling issues, and performance problems in the browser.

Reduce JavaScript and CSS bundle sizes through code splitting, tree shaking, and optimization techniques. Improve load times and overall application performance.

Build compelling business cases to justify investments and secure funding. Quantify benefits, assess costs, manage risks, and present compelling ROI arguments to leadership.

When the user wants to plan production or distribution capacity, analyze capacity requirements, optimize resource utilization, or balance capacity with demand. Also use when the user mentions "capacity analysis," "resource planning," "bottleneck analysis," "capacity expansion," "load balancing," "throughput planning," "utilization optimization," or "capacity modeling." For production scheduling, see master-production-scheduling. For long-term network capacity, see network-design.

Design and implement CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or CircleCI. Use for automated testing, building, and deployment workflows.

Implement circuit breaker patterns for fault tolerance, automatic failure detection, and fallback mechanisms. Use when calling external services, handling cascading failures, or implementing resilience patterns.

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

Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.

Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.