AI & ML Enthusiast | Full-Stack Developer

Hello, I'm Vansh Shah, a passionate Artificial Intelligence and Machine Learning student with a strong background in Computer Science from my completed diploma. My journey has been shaped by an academic foundation in AI and ML, further enhanced by practical hands-on experiences in software development, full-stack development (MERN stack), and AI-driven applications. I am also skilled in digital marketing and publicity, with a flair for simplifying complex technologies and engaging with wider audiences.

What Drives Me

I have always been fascinated by coding and the challenge of turning ideas into real-world applications. My enthusiasm for technology drives me to continuously learn and apply new concepts. Whether it's creating AI solutions or building responsive web apps, I thrive in dynamic environments that push me to think critically and innovate.

Key Skills

Full-Stack Development: MERN Stack (MongoDB, Express.js, React.js, Node.js), Electron.js, Tailwind CSS, Bootstrap, HTML5, CSS3
Python Development: Pandas, Numpy, Matplotlib, Scikit-learn, TensorFlow, Pytorch, Flask, Django,
AI & Machine Learning: NLP, Computer Vision, Deep Learning, Time Series Analysis, Recommendation Systems
Web Development: SEO, Web Hosting, PHP, RESTful APIs
Data Science & Analytics: Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Analysis, Data Mining, Web Scraping
Tools & Technologies: Git, GitHub, AWS EC2, Docker, Tableau, PowerBI, VMware, VirtualBox

Achievements

IGNITE IT Hackathon Winner, First Position
SVKM's Shri Bhagubhai Mafatlal Polytechnic
Developed a MERN stack Exercise Tracker during a hackathon, winning first place for its innovative and efficient design. The app enables users to log workouts, track progress, and monitor exercise history through a user-friendly interface.

HAXITE Hackathon Winner, Second Runner-up
SVKM's Shri Bhagubhai Mafatlal Polytechnic
Developed AlgoSaurus, an interactive algorithm visualizer, securing the 2nd runner-up position. This tool helps users understand algorithms step-by-step through dynamic and engaging visualizations.

Projects

1. AI Driven Predictive Analysis for Business Intelligence
I am currently developing a Business Intelligence system that integrates Artificial Intelligence, Machine Learning, and Big Data Analytics to deliver predictive insights. This system will help businesses optimize their operations by forecasting trends in customer behavior, market trends, inventory management, and sales forecasts.

2. Task Tracking System (MERN Stack)
Working on developing a comprehensive task tracking system for Vipsee Infotech. This system enables users to create, update, and track tasks in real-time with features like categorization, filters, and status updates. The backend is built using Node.js and Express.js, while the frontend is powered by React.js. MongoDB is used for efficient data management.

3. Vipsee Infotech Official Website Development
Developed a professional company website for Vipsee Infotech using React for dynamic user interfaces and Tailwind CSS for a modern, responsive design. The site features optimized SEO to improve search engine visibility and showcases the company's services and products. Managed the domain's DNS settings for reliable hosting and version control via Git.

4. Animal Threat Detection Using Computer Vision
Created an AI-powered solution for real-time animal threat detection in zoo environments. Using YOLO deep learning algorithms, this system monitors video feeds to identify animals and potential threats, enhancing the security and safety of wildlife.

5. AI Chatbot for Microsoft Customer Support
Developed an AI chatbot for Atidan using Python and integrating ChatGPT and Gemini models with NLP. The chatbot automates customer queries, improving response times by retrieving information from Microsoft's knowledge base through web scraping.

6. Remote Desktop Application Using Web Browser
Built a web-based remote desktop application using WebSocket protocols, allowing users to access and control remote PCs via their browsers, without the need for client-side installations. This application also supports real-time screen sharing and remote support.

Academic Background

Bachelor’s Degree in Artificial Intelligence & Machine Learning
SVKM’s Dwarkadas J. Sanghvi College of Engineering (2023 – 2026)

Diploma in Computer Engineering
SVKM’s Shri Bhagubhai Mafatlal Polytechnic (2020 – 2023)

Soft Skills

Leadership & Decision Making
Public Speaking & Presentation
Project Management & Organization
Team Collaboration
Effective Communication
Creativity