๐Ÿ› ๏ธ Technologies I Work With

Building Modern Applications with Cutting-Edge Technologies

My technical toolkit combines mathematical precision with modern software engineering practices. Hereโ€™s a comprehensive overview of the technologies I use to bring ideas to life.


๐Ÿ’ป Programming Languages

Python ๐Ÿ

  • Primary Use: Backend development, data analysis, automation
  • Frameworks: Django, Flask, FastAPI
  • Libraries: NumPy, SciPy, Matplotlib, Pandas
  • Projects: Mathematical simulations, data processing pipelines, automation scripts

C++ โšก

  • Primary Use: Performance-critical applications, 3D simulations
  • Specialties: Algorithm optimization, system programming
  • Libraries: OpenGL, SFML, Boost
  • Projects: 3D mathematical visualizations, computational geometry

Java โ˜•

  • Primary Use: Enterprise applications, Android development
  • Frameworks: Spring Boot, Android SDK
  • Focus: Object-oriented design, cross-platform development

JavaScript/TypeScript ๐ŸŸจ

  • Primary Use: Web development, full-stack applications
  • Runtime: Node.js for backend services
  • Focus: Type-safe, scalable web applications

๐Ÿš€ Frameworks & Libraries

Frontend Development

  • React โš›๏ธ: Component-based UI development
  • Next.js ๐Ÿ”„: Full-stack React framework with SSR/SSG
  • Tailwind CSS ๐ŸŽจ: Utility-first CSS framework
  • HTML5/CSS3 ๐Ÿ“: Semantic markup and modern styling

Mobile Development

  • Jetpack Compose ๐Ÿ“ฑ: Modern Android UI toolkit
  • Android Studio ๐Ÿค–: Native Android development
  • Material Design ๐ŸŽจ: Googleโ€™s design system implementation

Backend Development

  • FastAPI โšก: Modern Python web framework
  • Express.js ๐ŸŸข: Node.js web application framework
  • RESTful APIs ๐Ÿ”Œ: Scalable web service architecture

๐Ÿ› ๏ธ Development Tools

Version Control & Collaboration

  • Git ๐Ÿ“Š: Distributed version control
  • GitHub ๐Ÿ™: Code hosting and collaboration
  • GitLab ๐ŸฆŠ: DevOps platform integration

Code Editors & IDEs

  • VS Code ๐Ÿ’ป: Primary development environment
  • IntelliJ IDEA ๐Ÿง : Java and Kotlin development
  • Android Studio ๐Ÿ“ฑ: Mobile app development
  • Vim โŒจ๏ธ: Terminal-based editing

Design & Prototyping

  • Figma ๐ŸŽจ: UI/UX design and prototyping
  • Adobe Creative Suite ๐ŸŽญ: Graphics and design
  • Canva โœจ: Quick design iterations

โ˜๏ธ Platforms & Infrastructure

Containerization & Deployment

  • Docker ๐Ÿณ: Application containerization
  • Docker Compose ๐Ÿ”ง: Multi-container application orchestration

Databases

  • MongoDB ๐Ÿƒ: NoSQL document database
  • SQLite ๐Ÿ“ฆ: Embedded relational database
  • PostgreSQL ๐Ÿ˜: Advanced relational database

Operating Systems

  • Linux ๐Ÿง: Primary development environment (Ubuntu/Arch)
  • Windows ๐ŸชŸ: Cross-platform development
  • macOS ๐ŸŽ: Design and testing

๐Ÿค– AI & Automation

AI Integration

  • Gemini AI ๐Ÿค–: Googleโ€™s advanced AI model integration
  • OpenAI APIs ๐Ÿง : GPT integration for intelligent features
  • TensorFlow ๐Ÿ“Š: Machine learning framework

Bot Development

  • Telegram Bot API ๐Ÿ“ฑ: Automated messaging solutions
  • WhatsApp Business API ๐Ÿ’ฌ: Customer service automation
  • Discord.js ๐ŸŽฎ: Community management bots

Automation Tools

  • Python Scripts ๐Ÿ”„: Task automation and data processing
  • GitHub Actions โš™๏ธ: CI/CD pipeline automation
  • Cron Jobs โฐ: Scheduled task execution

๐Ÿ“Š Mathematical & Scientific Computing

Mathematical Libraries

  • NumPy ๐Ÿ”ข: Numerical computing
  • SciPy ๐Ÿงช: Scientific computing
  • SymPy โ™พ๏ธ: Symbolic mathematics
  • Matplotlib ๐Ÿ“ˆ: Data visualization

Specialized Tools

  • LaTeX ๐Ÿ“: Mathematical typesetting
  • Mathematica ๐Ÿงฎ: Symbolic computation
  • MATLAB ๐Ÿ“Š: Numerical analysis
  • R ๐Ÿ“ˆ: Statistical computing

๐ŸŽฏ Development Methodologies

Best Practices

  • Clean Code โœจ: Readable, maintainable code principles
  • Test-Driven Development ๐Ÿงช: Quality-first development
  • Agile Methodology ๐Ÿ”„: Iterative development approach
  • Code Reviews ๐Ÿ‘ฅ: Collaborative quality assurance

Documentation

  • Markdown ๐Ÿ“: Technical documentation
  • JSDoc/Sphinx ๐Ÿ“–: Code documentation
  • API Documentation ๐Ÿ”Œ: Service interface documentation

๐ŸŒŸ Current Learning & Exploration

  • WebAssembly ๐ŸŒ: High-performance web applications
  • Rust ๐Ÿฆ€: Systems programming language
  • Kubernetes โš“: Container orchestration
  • GraphQL ๐Ÿ”—: Modern API query language
  • Svelte ๐ŸŽช: Compile-time UI framework

๐Ÿ’ก Project Types I Build

Web Applications

  • Full-stack applications with modern frameworks
  • Progressive Web Apps (PWAs)
  • Real-time applications with WebSocket integration

Mobile Applications

  • Native Android apps with Jetpack Compose
  • Cross-platform solutions
  • Performance-optimized mobile experiences

Mathematical Tools

  • Computational mathematics applications
  • Data visualization tools
  • Educational mathematics software

Automation Solutions

  • Workflow automation systems
  • API integrations and data pipelines
  • Intelligent chatbots and assistants

This toolkit represents my commitment to using the right technology for each challenge, always prioritizing code quality, user experience, and mathematical precision.