A highly motivated Full Stack Web Developer eager to contribute to a growing team. Passionate about developing world-class web applications, I aim to support customers, sales teams, and engineering teams by delivering innovative and impactful solutions. Committed to leveraging my skills to drive success and growth within the organization.
I completed my secondary education in 2017 from shree vasavi vidya kendra,kollegala and scored 90%.
I completed my Pre-University education in 2019 from Nisarga Independent PU College, Kollegal and secured an aggregate percentage of 84.9%.
I graduated with a Bachelor of Engineering in Computer Science from Channabasaveshwara Institute of Technology, Gubbi, Tumkur in 2023, successfully completing the program with a CGPA of 7.9.
Held the position of Software Engineer Trainee at Tech Mahindra, Bengaluru for a period of four months.
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This project revolves around creating an Online Food Ordering System, aimed at simplifying the process of food ordering for customers while providing effective management tools for restaurant administrators. With a focus on item categories, food items, delivery addresses, orders, and shopping carts, the system offers a user-friendly interface accessible exclusively to administrators for heightened security. Leveraging MySQL, XAMPP, HTML, Bootstrap, JavaScript, and CSS, we've developed a robust platform that ensures data accuracy and consistency. Triggers and stored procedures automate tasks and enhance functionality, while future plans include features like real-time order tracking and personalized recommendations to adapt to evolving customer needs.
The aim of my project was to develop a predictive model for early detection of diabetes using machine learning techniques. The project involved analyzing a dataset that included various health metrics such as blood sugar levels, insulin intake, and other relevant factors. After preprocessing the data to ensure its quality, I applied the Support Vector Machine (SVM) algorithm, which is well-suited for classification tasks.Once the model was trained and tested, it was integrated into a web application using Streamlit, enabling users to input their health data and receive personalized risk assessments for diabetes. This project aimed to provide a tool that could assist in the early detection of diabetes, potentially improving patient outcomes through timely intervention.
I developed a responsive construction company website using HTML, CSS, JavaScript, and Bootstrap. The website showcases detailed information about the company, including their vision, working methodology, and a portfolio of their completed projects. It also provides information on various service packages—basic, classic, and premium. Additionally, the website includes interactive features such as a construction cost and EMI calculator, and a booking system that allows users to schedule consultations with the company. This project aimed to create a user-friendly platform that effectively communicates the company's offerings and makes it easy for potential clients to engage with their services.
View ProjectI created a simple login and user registration page using HTML and CSS for the frontend, and JDBC, J2EE, and MySQL for the backend. The page is designed to authenticate users, and upon successful login, it displays a "login successful" message. Although it doesn't redirect to any further application, it effectively demonstrates basic user authentication and backend integration.