Skills

General-purpose programming for scripting, backend services, and automation.

• Clean, readable code with emphasis on correctness
• Used for tooling, data handling, and backend logic
• Comfortable with standard library and ecosystem

Strongly typed language for backend services and structured applications.

• Object-oriented design and clean abstractions
• Experience maintaining and extending existing codebases

Low-level programming with explicit memory and performance control.

• Understanding of memory management and pointers
• Used for foundational and systems-level concepts

Systems programming language with performance-oriented abstractions.

• Solid understanding of core language concepts
• Used primarily in academic and learning contexts

Core web technologies for building accessible, responsive user interfaces.

• Semantic HTML and responsive layouts
• Modern JavaScript (ES6+) and browser APIs
• Accessibility-aware markup and styling

Component-based frontend development with modern React patterns.

• Hooks, composition, and state-driven UI
• Clean component boundaries and reusability
• Integration with backend APIs

Managing local and global application state in frontend applications.

• Clear separation between UI and data logic
• Derived state and predictable data flow
• Avoidance of unnecessary complexity

Improving frontend responsiveness and runtime efficiency.

• Reducing unnecessary re-renders
• Lazy loading and code splitting
• Awareness of browser performance metrics

Backend development using JavaScript in server-side environments.

• API development and service logic
• Async programming and error handling
• Integration with databases and external services

Designing and consuming RESTful APIs.

• Clear resource modeling and HTTP semantics
• Error handling and validation
• Client-server contract awareness

Secure access control for backend systems.

• Token-based authentication flows
• Role and permission modeling
• Security-conscious design decisions

Containerization for development and production environments.

• Multi-stage builds and optimized images
• Local and production configurations
• Reproducible environments

Automated build, test, and deployment workflows.

• Reliable repeatable deployments
• Basic pipeline troubleshooting

Operating and maintaining Linux-based servers.

• Command-line proficiency
• Service configuration and monitoring
• Deployment and maintenance tasks

Fundamental problem-solving techniques and data organization.

• Confident with common data structures
• Algorithmic reasoning and trade-offs

Analyzing performance characteristics of algorithms.

• Big-O reasoning
• Practical performance trade-offs

Core concepts behind networked applications.

• HTTP, TCP/IP basics
• Client-server communication

Teaching programming concepts to individuals.

• Adapting explanations to learner level
• Emphasis on fundamentals and reasoning

Reviewing code for correctness, clarity, and maintainability.

• Constructive, actionable feedback
• Focus on long-term code health

Writing clear documentation for developers and stakeholders.

• Explaining complex systems simply
• Maintenance-friendly documentation