Hi, my name is
I'm a Full Stack Developer, Deep Learning Practitioner, and DevOps Enthusiast specializing in building exceptional digital experiences.
Hello,
I'm Gaurav, a Full Stack Developer, Deep Learning Practitioner, and DevOps Enthusiast.
Experienced in building scalable web applications, deploying AI/ML models, and implementing CI/CD pipelines. Skilled in frontend and backend development, with expertise in WordPress, React, Node.js, and Python. Passionate about leveraging technology to solve real-world problems and drive innovation through continuous learning.
B.E. Computer Engineering: 8.85 CGPA
HSC (Electronics): 90.62%
SSC: 86.60%
Indian Sign Language Recognition (JOT Journal, 2024)
CNN Inception V3 Review (IJRASET, 2024)
Technical Team Member - Startup & Innovation Club, AISSMS COE
Event Head - Overtime Aces Tech Fest
HTML5
CSS3
JavaScript
React
Bootstrap
Next.js
PHP
Node.js
Express.js
MySQL
MongoDB
PostgreSQL
Python
TensorFlow
Deep Learning
Scikit-learn
Jupyter
Docker
Jenkins
CI/CD
AWS
Linux
Nginx
GCP
WordPress
WooCommerce
Shopify
Wix
Elementor
Divi
C++
GitHub
Git
XAMPP
Postman
Web Developer
August 2023 - Present
Tech Stack: WordPress | Divi/Elementor | JavaScript | MySQL
Front-end Developer Intern
December 2022 - January 2023
Tech Stack: React | JavaScript | CSS3
Technical Team Member
June 2022 - April 2023
A user-friendly website for our junior engineering students, providing easy access to study materials and past university question papers for various engineering branches in our college.
An intermediate-level driving school web application using React, demonstrating my ability to create responsive and user-friendly interfaces. (Duo Project)
Full-stack implementation with role-based access control and real-time seat booking system. Developed using PHP and MySQL for backend, with Bootstrap and AJAX for dynamic frontend interactions.
Collaborated on an intermediate-level online food ordering system in a group project, where my focus was on crafting an engaging front-end using HTML, CSS, and JavaScript.
Automated deployment using Jenkins & Docker. Containerized application with Docker Compose for seamless development and production environments. Implemented continuous integration and deployment workflows.
Developed RNN model achieving 92% accuracy for recognizing Indian Sign Language gestures. Created custom Marathi language dataset and implemented real-time gesture recognition using MediaPipe and BiLSTM neural networks.