About
Highly motivated Computer Science and Engineering graduate with a strong foundation in full-stack web development (MERN Stack) and practical experience in AI/Machine Learning applications. Proven ability to design, develop, and deploy robust solutions, including high-accuracy image classification models and interactive web platforms. Eager to apply advanced programming, problem-solving, and project management skills to drive innovation in dynamic tech environments.
Work
Virtual, Madhya Pradesh, India
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Summary
Led the development of an AI-powered disease prediction system, leveraging multiple machine learning models to provide real-time health risk assessments.
Highlights
Developed a Machine Learning-based disease prediction system for early detection of Diabetes, Heart Disease, and Parkinson’s Disease using multiple ML models (Logistic Regression, Decision Trees, Support Vector Machines).
Built an interactive Streamlit web application to provide users with real-time health risk predictions based on inputted medical parameters.
Enhanced prediction accuracy through data preprocessing and implemented efficient model inference using Pickle serialization for storing trained models.
Skills
Programming Languages
C++, C, Python, JavaScript.
Web Development
MERN Stack, MongoDB, Express.js, React.js, Node.js, HTML, CSS.
Core CS Concepts
Data Structures, DBMS, OOP, Operating Systems.
Other Technologies
Git, GitHub, VS Code, RESTful APIs, AWS, Agile, FastAPI, Streamlit, TensorFlow, WebSockets, JWT, bcrypt.
Machine Learning
CNN, Logistic Regression, Decision Trees, Support Vector Machines, Data Preprocessing, Model Inference, Pickle Serialization.
Interests
Volleyball
Active player, college tournaments.
E-Cell Club
Organized workshops, events, entrepreneurship promotion.