About Me
Passionate Full Stack Developer with expertise in MERN stack, React, Node.js, and modern web technologies. I love building scalable applications and innovative solutions that make a difference.
Work Experience
Full Stack Developer
BACANCY Technologies
- • Designed and developed full-stack applications using MongoDB, Express.js, React.js, and Node.js, delivering scalable and performant solutions with clean, reusable front-end components powered by React and state tools like Redux Toolkit and React Query.
- • Engineered secure and efficient RESTful APIs, integrated third-party services, and implemented robust JWT-based authentication/authorization, ensuring data integrity and enhancing application functionality across user flows.
- • Optimized database design using both MongoDB and PostgreSQL, while deploying applications on platforms like AWS, Render, and Vercel, leveraging CI/CD pipelines for smooth and automated deployments.
PHP Software Developer
Pooja Infotech
- • Built responsive, user-friendly interfaces using HTML5, CSS3, and JavaScript, improving front-end performance and enhancing overall user experience.
- • Designed and managed relational database structures using MySQL, contributing to reliable and scalable backend systems.
- • Engineered and deployed a new web application integrated with existing software infrastructure, streamlining user workflows and improving accessibility.
Education
BTech (Computer Science and Engineering)
Chandubhai S Patel Institute of Technology (CHARUSAT), Anand
CGPA: 9.33
Coursework:
Higher Secondary
Sardar Vallabhbhai Vidyalaya, Vadodara, India
Percentage: 90.1%
Awards & Certifications
NPTEL Certification
• Programming in Modern C++
• Data Structure and Algorithms
Skills & Technologies
I've worked with a variety of technologies to create robust and scalable applications.
Languages
Frontend
Backend
Database
DevOps
Tools
Integrations
Additional Skills
Research & Innovation
Exploring the intersection of artificial intelligence and real-world applications through cutting-edge research.
Research (Drug Sentiment Analysis)
Developed sentiment analysis models using prominent NLP-based deep learning algorithms including BI-LSTM, CNN, GRU, Logistic Regression, and Random Forest.
Explored frameworks like TensorFlow, Keras, and Transformer
Performed algorithmic comparisons and sentiment analysis
Achieved a notable accuracy of 93% with BI-LSTM, which is 9% more than previous result
Technologies Used
Key Results
Model Performance Comparison
Accuracy comparison across different algorithms
Deep Learning Models
Implemented BI-LSTM, CNN, GRU, and Transformer-based models for comprehensive sentiment analysis.
93% Accuracy
Achieved remarkable 93% accuracy with BI-LSTM, surpassing previous results by 9%.
Performance Optimization
Optimized model performance through hyperparameter tuning and advanced preprocessing techniques.
Modern Frameworks
Utilized TensorFlow, Keras, and Hugging Face Transformers for state-of-the-art implementations.
Comprehensive Analysis
Performed detailed algorithmic comparisons and statistical analysis of results.
Real-world Application
Applied to drug sentiment analysis for pharmaceutical industry insights.
Featured Projects
A collection of my recent work showcasing full-stack development, modern technologies, and innovative solutions.
SocioFeed
SocioFeed is an Instagram-style social media platform built with the MERN stack and PostgreSQL, enabling users to create posts, like, comment, follow, and engage in real-time chat. The responsive frontend, developed with React.js and MUI, features post feeds, user profiles, and interactive components. The backend, powered by Node.js, Express.js, and Prisma ORM, ensures efficient relational data modeling and optimized SQL queries. Real-time messaging via Socket.IO.
Virtual Wheels
Virtual Wheels is a 3D car browsing and purchasing platform built with the MERN stack, designed for an immersive user experience. The responsive frontend, crafted with React.js and Tailwind CSS, offers dynamic filtering, 3D car model previews, and smooth UI transitions. The backend, built with Node.js, Express.js, and MongoDB with Mongoose, supports secure JWT-based authentication, role-based access control (RBAC), and scalable data storage for car models and user data.
EStore
EStore is a full-featured e-commerce platform built with MERN stack, offering a seamless shopping experience and robust admin management. The responsive frontend, developed with MUI and Redux Toolkit, supports product browsing, search, filtering, and cart management. The backend uses a normalized PostgreSQL schema with RESTful APIs for products, users, carts, and orders, integrated with Cloudinary for media and Node Mailer for notifications.
Online Voting and Volunteering System
Online Voting and Volunteering System is a web application built with PHP and MySQL to facilitate secure online voting and volunteer management. The system supports user registration, secure voting with result tracking, and volunteer task assignment. The frontend, styled with Bootstrap, ensures a responsive and user-friendly experience. The backend, developed with PHP and MySQL, handles secure data storage, vote tallying, and user role management.
Fake News Detection
Fake News Detection is a machine learning-based application that identifies misleading news articles using web scraping and natural language processing. Built with Python, BeautifulSoup, and scikit-learn, the system scrapes news articles from websites, preprocesses text data, and applies ML algorithms (e.g., Logistic Regression, Naive Bayes) to classify articles as fake or legitimate. The frontend, developed with Flask, provides a simple interface.
Job Portal
Job Portal is a full-stack web application, designed to connect job seekers and employers. The platform features user authentication, job posting, application submission, and advanced search with filtering capabilities. The responsive frontend, developed with React.js and Tailwind CSS, provides an intuitive interface for browsing jobs and managing profiles. The backend, powered by Node.js, Express.js, and MongoDB with Mongoose.
Want to see more?
I'm constantly working on new projects and improving existing ones. Check out my GitHub for the latest updates.
View All ProjectsGet In Touch
I'm always interested in hearing about new opportunities and exciting projects. Let's connect!
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