The official personal engineering portfolio and embedded robotics showcase of Alwin T R, deployed on GitHub Pages. Engineered with pure vanilla web technologies, custom cosmic Milky Way starfield physics, interactive 3D parallax tilt, real-time repository search, and technical competency matrices.
The live portfolio is accessible at: https://alwintr.github.io
- Cosmic Milky Way Canvas Engine: Real-time canvas-rendered diagonal galactic glow band, twinkling starlight particles, dynamic shooting meteors, and cursor starlight magnetism.
- Executive Centered Hero Section: High-impact typography with gradient glow, high-tech engineering HUD badge, and dynamic multi-phrase typewriter rotation.
- Engineering Specialization Pillars: Glassmorphic cards detailing Autonomous Robotics and Kinematics, Real-Time Embedded Firmware, Industrial Multi-Sensor Automation, and IoT Telemetry.
- Interactive Project Showcase: Real-time multi-tag category filter and live instant keyword search bar.
- Technical Competency Matrix: Six structured panels detailing microcontrollers, low-level languages, robotics toolchains, hardware bus protocols, wireless ecosystems, and EDA suites.
- Engineering Milestones Roadmap: Interactive vertical timeline tracing historical embedded milestones.
- Optimized Performance: Zero external heavy libraries, pure CSS3 glassmorphism, responsive breakpoints across mobile, tablet, and ultra-wide displays.
ALWINTR.github.io/
├── index.html # Semantic HTML5 architecture and OpenGraph metadata
├── style.css # Cosmic Milky Way styling, glassmorphism and animations
├── script.js # Starfield canvas, shooting meteors, tilt physics, typewriter
└── README.md # Technical portfolio documentation
To test or preview the portfolio locally:
# Clone repository
git clone https://github.com/ALWINTR/ALWINTR.github.io.git
# Navigate into directory
cd ALWINTR.github.io
# Start lightweight local HTTP server
python -m http.server 8000Open a web browser and navigate to http://localhost:8000.
Alwin T R - Robotics and Automation Engineer
- LinkedIn: linkedin.com/in/alwintr
- Portfolio: alwintr.github.io
- GitHub: github.com/ALWINTR
This project is licensed under the MIT License - see the LICENSE file for details.