Hi, I am Sajid Ali

I am a passionate Full Stack Web Developer and a Quick Learning enthusiast. Working on projects that integrate web development with AI techniques. Whether it is building responsive applications, creating efficient backend systems, or diving into new technologies, I’m always eager to learn and innovate and open to Internship, Research Projects, Collaboration in Full Stack Development, or AI/ML domains.

About Me

I am a passionate software developer who loves building things that live on the internet. My journey in web development started 3 years ago, and I have been constantly learning and growing ever since.

My Journey

I discovered my passion for programming during college when I built my first web application. The excitement of seeing code come to life in the browser hooked me instantly.

Since then, I have been dedicated to mastering both frontend and backend technologies. I enjoy the entire development process, from planning and design to deployment and maintenance.

Currently I am student in DTU, and focus on building scalable web applications using modern technologies like Reactjs, Expressjs, and TypeScript. I am always eager to learn new technologies and improve my skills.

Quick Facts

Projects Completed10+
Technologies Mastered15+
Coffee Consumed

Technical Skills

Frontend

HTMLCSSReactNextjsTypeScriptTailwind CSSJavascriptShadCn

Backend

NodeExpressJSPython

Database

MongoDBSQL

Tools & Others

Git/GithubLinux

Featured Projects

Here are some of my recent projects that showcase my skills in Full-Stack development, C++, and Machine Learning.

Expense Tracker
Droply is a sleek and intuitive personal finance tracker built with Next.js, TypeScript, Clerk for authentication, and ShadCN UI for modern, accessible component styling. It enables users to monitor income, expenses, and balances in real time through a centralized dashboard, offering streamlined transaction management and a dynamic financial summary to support smarter budgeting and personal finance decisions.
NextjsTypescriptShadcnClerk
Jacky
Developed a full-stack web application of Dog-Website. User can book appointment with a doctor and instructor, based on their feedback for the user house to perfrom various activities of dogs. They can upload blogs, view characteristics and instructions about the dogs, can report about StrayDog, buy dog products. User can also adopt a Puppy and a TrainedDog for respective purposes. User can search other dogs for mating of his dog and can also post information about his dog to mate, Page for collaboration is also made to partner with Jacky.
React.jsMongoDbExpressjsRedisNodemailer

Other Notable Projects

Ed-Tech Website
This project is a responsive EdTech Dashboard designed to provide users with an overview of their learning progress through visually appealing and interactive charts. The dashboard features user profile information, badges, past courses, projects, and recommended courses — all integrated into a clean, intuitive interface.The core highlight is the use of Chart.js to render dynamic visualizations:Line Chart: Displays hours spent learning per day over several months.Bar Chart: Illustrates the number of questions solved per month.The dashboard incorporates a responsive navigation menu with icons (via Font Awesome) and uses semantic HTML for accessibility. The design supports smooth user interaction and visual tracking of performance metrics for learners.
HTML/CSSJSChart.js
Hostel Accomodation
This is a console-based application developed in C++ to manage hostel bed reservations efficiently. The system allows students to reserve beds by entering their details, which are then stored in a file for record-keeping. It tracks available beds, updates hostel data, and ensures reservation logic through file handling operations. The project demonstrates practical knowledge of object-oriented programming, file I/O in C++. It’s a simple yet effective solution for managing hostel accommodations in small institutions.
C++
Customer Purchase Prediction
This project is a ML-based system that predicts whether a customer will make a purchase based on their demographic and behavioral data. It utilizes Logistic Regression, a supervised learning algorithm, to classify customer intent based on features such as age, time spent on the website, whether a product was added to the cart, gender, and past purchase behavior. The program accepts real-time user input to simulate customer behavior and predict their likelihood of making a purchase.
PythonNumpyScikit-Learn+1

Experience & Education

My professional journey and educational background that shaped my skills and expertise in software development.

Work Experience

Bro PG
BRO PGDwarka, DelhiJune 2024 - Present
  • Developed and maintained React-based web application serving 100+ users
  • Help in reducing the load of owner by arranging things online
  • The PG-Owner can see the Complaints posted by his guests and can update the status of the problem
  • Implemented REST APIs using Node.js and Express framework
  • Create listing of the properties of the PG Owner
ReactNode.jsExpressjsMongoDBFramer-Motion

Education

BTech in Information Technology
Delhi Technological University(formerly DCE)Bawana, Delhi2022 - Present

Relevant coursework: Data Structures & Algorithm, Software Engineering, Web Development, DBMS, CN, OS

Get In Touch

I am always open to discussing new opportunities, interesting projects, or just having a conversation about technology. Feel free to reach out!

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