Hi, I am Irshad Alam
About Me
Hi Everyone, I am Irshad Alam A experienced Full Stack Developer with 2 years of expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js) and additional proficiency in Next.js and Java. Gained 12 months of industry exposure through an internship and 12 months of hands-on training at Masai School.
Some of my interests apart form Coding :
Playing Football
Travelling
My Timeline đź’«
Software Developer
MatreComm Technology Pvt. Ltd
I joined MatreComm Technology as a Software Engineer on May 5, 2024, and contributed to several real-world projects. It was a valuable experience, and I learned a great deal from my colleagues.
May 2024 - january 2025Mern Stack Developer
Vatech Solution
I joined Vatech Solution as a mern stack developer intern, and contributed to several real-world projects. It was a valuable experience
November 2023 - May 2024Full Stack Web Developer
Masai School
Built web applications using React.js, Next.js, Node.js, and Java, with 1,000+ hours of MERN stack training, creating RESTful APIs and improving performance.
Apr 2022 - Apr 2023Bachelor of Physics
SKMU Uviversity, Dumka - Jharkhand
Jun 2019 - August 2022Skills
Java
Javascript
Typescript
HTML&CSS
React.js
Redux
Next.js
Nodejs
Express
MongoDb
NPM
Netlify
Github
Tailwind
Days I Code
Projects
Discovery Plus
Passwords hashed for 75% reduced guessing risk Added security to prevent unauthorized access.
Manual and voice search for efficient user experience. Voice search reduces 30% of the user’s time.
Seamless in-platform video playback
Store Management
This web application for footwear sellers to manage inventory, products, and sales. Features include product management, inventory tracking with low-stock alerts, real-time store availability,
Alibaba Clone
Secure Login with user credentials
Users can search for products by typing queries
Users can add multiple products to the cart
Sort the Product based on category and price
Unsplash
The features of this project include the ability for users to scroll infinitely with a smooth scrolling feature. Additionally, users can search for images by entering the name of the object