A systems-focused personal portfolio designed to highlight engineering thinking, data pipelines, and technical clarity.
Note: This entire project was vibecoded using AI. No manual coding was performed; the architecture, styling, and logic were iteratively generated and refined entirely through natural language prompts.
The portfolio is structured to reflect the mindset of a Data Engineer, using data-centric visual metaphors instead of standard web design patterns:
- Splash Screen (welcome.html): An animated data pipeline simulation using the HTML Canvas API, where data packets autonomously route into a central processing hub.
- Dashboard (index.html): The main landing page featuring a fully functional, interactive Command Line Interface (CLI). Visitors can use commands like
run pipeline,query skills, orwhoamito interact with the profile. - Execution Graph (projects.html): Deployed AI and data projects are visually represented as a Directed Acyclic Graph (DAG). Upcoming ETL and infrastructure projects are tracked on a Kanban board.
- Structured Experience (resume.html): A clean, easily readable breakdown of education, experience, and technical stack.
- Design System: "Morning Cloud" theme - A bright, professional aesthetic utilizing frosted glass UI (glassmorphism), CSS variables, and high-contrast typography for readability.
- AI Log Correlation Engine (Log Analytics & ML)
- Radiation Assessment (Predictive ML & Data Modelling)
- RX-Block (Blockchain & Cryptography)
- Agreement Reader (LLM APIs & NLP)
- AI Math Tutor (LangChain & Symbolic Computation)
- HTML5
- CSS3 (CSS Variables, Flexbox, CSS Grid, Advanced Keyframe Animations)
- Vanilla JavaScript (Canvas API, DOM manipulation, Event handling)
To view the portfolio locally, simply clone the repository and open welcome.html in any modern web browser. No build steps, dependencies, or package managers are required.
MIT License