SYSTEM_STATUS: ONLINE
dev@portfolio-system
VS

Vedant Shah

Full-Stack Developer

CONTACT_MATRIX

SYSTEM_OVERVIEW

> cat /profile/summary.txt
Professional summary paragraph

TECH_STACK_RADAR

LANGUAGES
JavaScript (ES5/ES6)
HTML5
CSS3
FRONTEND & FRAMEWORKS
React.js
Redux
Next.js
BACKEND & DATABASES
Node.js
Express.js
MongoDB
TOOLS & PRACTICES
Git/GitHub
AWS (EC2, S3, Lambda)
Docker

PERFORMANCE_METRICS

3
PROJECTS
3
POSITIONS
29
SKILLS
0
CERTS
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> ls -la /experience/

Full-Stack Developer

@Bering Waters Ventures
> cat responsibilities.log
Developed and deployed a responsive React.js web application using Redux for state management, webpack optimization, and AWS CloudFront CDN to enhance user experience and global accessibility, resulting in 40% faster page loads, 25% reduction in bounce rate with 98.9% uptime.
Built and implemented an interactive investment dashboard using React.js components, D3.js for data visualization, and RESTful APIs with Node.js to provide real-time portfolio insights for stakeholders, enabling data-driven decision-making that identified 12 high-risk investments and prevented $2M in potential losses.
Optimized and refactored legacy React codebase through component memoization, code splitting, lazy loading, and TypeScript migration to improve application maintainability and performance, reducing bundle size by 35%, accelerating render speed by 20%, and decreasing production bugs by 60% through implemented Jest testing suite.
DURATION
January 2024 – January 2025

Frontend Developer Intern

@Digital For Humanity
> cat responsibilities.log
Designed and implemented a responsive UI design system using vanilla JavaScript, advanced CSS3 (Grid, Flexbox, animations), and SASS to create reusable components and consistent user experience across devices, improving mobile engagement by 45% and reducing CSS codebase by 30% through modular stylesheets.
Developed an interactive data visualization interface with JavaScript ES6, HTML5 Canvas, and custom CSS animations to render complex datasets with smooth transitions and hover effects, achieving 60fps performance while enhancing user comprehension of data patterns by 80% based on user testing feedback.
DURATION
January 2023 – January 2023

Research Intern - Deep Learning

@MCEME
> cat responsibilities.log
Developed a Computer Vision Model using the ArcFace loss function, improving masked face recognition specificity by 10% and enhancing security by flagging unauthorized entries.
Implemented a Python-based data visualization dashboard using Matplotlib, Plotly, and Tkinter to display real-time model performance metrics and detection results, that enabled non-technical staff to monitor system accuracy.
DURATION
January 2022 – January 2022

> ./skills --list-all

LANGUAGES

> cat languages.txt
JavaScript (ES5/ES6)
HTML5
CSS3
TypeScript
Java
Python
C/C++

FRONTEND & FRAMEWORKS

> cat frontend & frameworks.txt
React.js
Redux
Next.js
Angular
jQuery
Webpack
Jest
SASS/SCSS

BACKEND & DATABASES

> cat backend & databases.txt
Node.js
Express.js
MongoDB
PostgreSQL
MySQL
Redis
Elasticsearch

TOOLS & PRACTICES

> cat tools & practices.txt
Git/GitHub
AWS (EC2, S3, Lambda)
Docker
CI/CD (Jenkins)
REST APIs
GraphQL
Agile/Scrum

> git log --projects --oneline

Musketeer

PROJECT_ID: 1
> cat package.json | grep dependencies
React.jsWebRTCSocket.ioSCSSWebpackAWS DynamoDBRealmDBJest (TDD)Redux
> cat README.md

Engineered peer-to-peer video conferencing platform with real-time chat, screen sharing, breakout rooms, and automatic ice-breaker prompts, supporting 500+ concurrent users and offline-first architecture for seamless cross-device sync.

Movie Sentiment Analyzer

PROJECT_ID: 2
> cat package.json | grep dependencies
Next.jsTypeScriptTailwind CSSD3.jsPythonNLTK VADER APIRedisPostgreSQL
> cat README.md

Built interactive search interface with autocomplete and real-time validation where users input movie titles, triggering async API calls to fetch IMDB reviews, which are then displayed in responsive card layouts with animated sentiment badges (positive/negative) and color-coded visual indicators.

Sales Forecasting Dashboard

PROJECT_ID: 3
> cat package.json | grep dependencies
React.jsTypeScriptChart.jsD3.jsMaterial-UIPython (Flask API)PostgreSQLRedisDocker
> cat README.md

Developed real-time inventory management interface featuring drag-and-drop threshold settings, animated alert systems, and customizable KPI cards that reduced holding costs by 30% through proactive stock level recommendations and automated reorder notifications.

> find /education -type f

Master of Science in Computer Science

Northeastern University
January 2027

Bachelor of Technology in Computer Science and Engineering (Specialization: Artificial Intelligence)

ITM (SLS) Baroda University
January 2024
END_OF_TRANSMISSION
Thank you for exploring my digital portfolio matrix
Built with: React • TypeScript • Next.js • Tailwind CSS