Premchand Neela

Full Stack Web Developer | AI & Machine Learning Engineer

Ludhiāna, IndiaSoftware Development and Artificial Intelligence
27skills
4education
4credentials

About

💻 MERN Stack Developer | 🤖 Machine Learning Engineer | 🚀 Problem Solver I am a passionate full-stack developer and machine learning enthusiast with experience building scalable web applications and intelligent systems. With strong expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js), I specialize in designing responsive, user-friendly interfaces and developing robust back-end architectures. On the other side of technology, I explore the world of machine learning and AI, working with algorithms for classification, prediction, clustering, and deep learning to solve real-world problems. I enjoy bridging the gap between software engineering and data-driven intelligence. ✨ What I bring to the table: ⚡ End-to-end web application development using the MERN stack 🔗 RESTful API design, authentication (JWT / OAuth), and scalable backend systems 🗄️ Database design & optimization (MongoDB, SQL) 🤖 Machine learning model development, training, and deployment 🧩 Strong foundations in data structures, algorithms, and problem-solving 🌟 My Goal: To build impactful digital products that blend the power of modern web development with machine learning to deliver smarter solutions. 📈 Always eager to collaborate, learn, and work on projects that challenge me to grow.

Education

CHANDIGARH UNIVERSITY

Bachelor of Engineering - BE, AIML

undefined 2022 - undefined 2026

Chandigarh University

B.Tech, Computer Science and Engineering (AI&ML)

2022 - present

CGPA: 7.38

Narayana Junior College, Hyderabad

Class 12th

May 2022

Mark: 93.0%

Narayana School, Shankarpalle

Class 10th

March 2020

CGPA: 10.00

Skills

Front-End DevelopmentBack-End Web DevelopmentMachine LearningEntrepreneurshipC++JavaScriptPythonSQLHTML5CSS3React.jsNode.jsREST APIsScikit-learnPandasNumPyJupyter NotebookGitGitHubPostmanVisual Studio CodeObject-Oriented ProgrammingData Structures & AlgorithmsMongoDBJWTMulterAWS S3

Projects

YouTube Clone Backend (Video Sharing Platform API)

Developed a scalable Node.js, Express.js, and MongoDB backend following MVC architecture, with RESTful APIs, JWT authentication, middleware security, Multer-integrated AWS S3 media handling, and database query optimization.

Liver Disease Prediction System (Machine Learning)

Developed a supervised machine learning model using Python, Pandas, NumPy, and Scikit-learn to predict liver disease, including data preprocessing, feature engineering, and evaluation of Logistic Regression, Decision Tree, and Random Forest models.

React Movie App (Movie Discovery Web Application)

Developed a responsive React.js movie discovery application using hooks and TMDB REST APIs, with search and trending features, debouncing, conditional rendering, and optimized state updates.