A high-performance, single-page personal portfolio designed to showcase a career at the intersection of Data Science, Machine Learning, and Systems Engineering.
This project serves as a central hub for my technical work, moving beyond traditional resume formats to offer an interactive, visual representation of my capabilities in building scalable systems and predictive models.
🔗 Live Demo: yashjadhav100.github.io
As a Master’s student in Computer Science with a diverse background ranging from Electronics to Full Stack Development, I needed a platform that could:
- Demonstrate "Full Stack" Proficiency: I didn't just want to claim I know frontend development; I wanted to prove it by building a portfolio from scratch without relying on heavy frameworks like React or Angular for a static site.
- Highlight Interdisciplinary Skills: My work spans low-level compiler optimization (MLIR/LLVM), high-level data science (Python/Pandas), and web engineering. This portfolio allows me to categorize and present these distinct skill sets cohesively.
- Showcase Engineering Standards: By focusing on performance (high Lighthouse scores), accessibility, and responsive design, this project reflects the engineering standards I bring to professional roles.
The philosophy behind this project was "Complexity in Design, Simplicity in Code."
- No Heavy Frameworks: Built using Vanilla JavaScript and HTML5. This ensures lightning-fast load times and zero build-step complexity.
- Utility-First Styling: Leveraged Tailwind CSS for rapid UI development, maintaining a consistent design system (colors, spacing, typography) without writing thousands of lines of custom CSS.
- Interactive DOM Manipulation: Features like the Spotlight Effect and Project Filtering are implemented with raw DOM manipulation, demonstrating a strong grasp of core browser APIs.
- Dynamic Filtering System: A custom JavaScript filter allows recruiters to instantly toggle between AI/Data Science projects and Web/System engineering projects, tailoring the view to their hiring needs.
- Interactive "Spotlight" UI: A mouse-tracking radial gradient effect on cards that adds depth and interactivity, enhancing the dark-mode aesthetic.
- Responsive & Adaptive: A mobile-first architecture that scales seamlessly from 4k monitors down to mobile devices, featuring a custom collapsible navigation menu.
- Glassmorphism Aesthetic: Utilizes backdrop-blur and semi-transparent borders to create a modern, layered visual hierarchy.
This portfolio hosts a curated list of over 20+ projects, moving away from simple automation scripts to complex engineering challenges:
- AI & Data Science: Includes an AI Resume Analyzer (NLP/TF-IDF), Fake Job Detector (Classification/SHAP), and Hospital Readmission Predictors, showcasing end-to-end ML pipelines.
- Systems & Web: Features a robust E-Commerce Platform (MERN Stack) and a Smart Bot Dashboard (Flask), demonstrating full-stack scalability.
- Interactive Logic: Includes a Rock-Paper-Scissors Game, serving as a fun demonstration of state management and DOM interaction in pure JavaScript.
To run this portfolio locally or customize it for your own use:
- Clone the repository:
git clone [https://github.com/YashJadhav100/yashjadhav100.github.io.git](https://github.com/YashJadhav100/yashjadhav100.github.io.git)
- Open the application:
Since this project uses no build tools, simply open
index.htmlin any modern web browser. - Customize:
- Update
assets/Yash_Jadhav_Resume.pdfwith your own document. - Modify the
tailwind.configscript in the<head>to change the color scheme.
- Update
I am actively seeking Spring 2026 Co-ops/Internships and Full-time 2026 opportunities.
- Email: [email protected]
- LinkedIn: linkedin.com/in/yashvjadhav
- GitHub: github.com/YashJadhav100
Designed and Engineered by Yash Jadhav © 2026