A premium, production-quality personal portfolio designed to showcase engineering excellence in Artificial Intelligence, Quantitative Finance, and Power Systems.
Built with a focus on minimalism, modern typography, and sophisticated interactions, this portfolio intentionally avoids generic templates (like Bootstrap or Tailwind) to deliver a bespoke, Apple/Linear-inspired web experience.
[https://excelsiorsr.github.io]
This project is engineered from scratch without reliance on heavy UI frameworks:
- Semantic HTML5: Clean, accessible markup.
- Modern CSS3: Custom variables, CSS Grid/Flexbox, and performant cubic-bezier transitions.
- Vanilla JavaScript: Lightweight intersection observers for scroll reveals and sticky navigation.
- Typography: Space Grotesk (Headings) & Inter (Body).
- Icons: Phosphor Icons (Minimalist web font).
- Artificial Intelligence: Scalable ML pipelines and predictive modeling.
- Quantitative Finance: Mathematical frameworks and market regime forecasting.
- Electrical Engineering: Resilient grid infrastructures and digital twins.
To view or modify this project locally:
- Clone the repository:
git clone [https://github.com/ExcelsiorSR/portfolio.git](https://github.com/ExcelsiorSR/portfolio.git)
Navigate to the project directory:
cd portfolioOpen index.html in your preferred web browser, or use a local development server (like VS Code Live Server) to preview changes.
📁 Repository Structure index.html - The single-page application core structure.
AvatarUSR.png - Profile imagery.
ResumeUSR.pdf - Downloadable curriculum vitae.
XAID.pdf / AIHS.pdf - Verifiable credentials and certifications.
Project_QP_F_R.pdf - Formal technical research report for the Market Regime Shift Classifier.
Project_R_AI_ESGPO.pdf - Formal technical research report for the Sustainable Portfolio Optimizer.
📜 License Designed and developed by Utthan Singh Roy. All rights reserved.