SUPRAJA

Developed and maintained MERN stack web applications, building RESTful APIs and collaborating on performance optimization.

• Developed and maintained web applications utilizing the MERN stack (MongoDB, Express.js, React, Node.js), ensuring robust functionality.
• Built RESTful APIs and integrated front-end components, contributing to responsive and dynamic user experiences.
• Collaborated with the team to troubleshoot and optimize application performance, resolving critical issues to maintain system stability.

Developed and maintained full-stack web applications, implementing RESTful APIs and optimizing database queries.

• Developed and maintained full-stack web applications utilizing Python, Django, and React, ensuring comprehensive system functionality.
• Implemented RESTful APIs, ensuring seamless integration with front-end components and enhancing user experience.
• Managed PostgreSQL databases, optimizing queries to improve application performance and data retrieval speed.

Assisted in developing machine learning models and optimizing their deployment for data analysis and prediction.

• Assisted in developing machine learning models for data analysis and prediction tasks, contributing to data-driven insights.
• Performed data preprocessing, feature engineering, and model evaluation, enhancing model accuracy and reliability.
• Collaborated with the team to deploy models and optimize performance, ensuring efficient operation and accessibility.

Supported AI module development and integration, optimizing database performance for web applications.

• Contributed to AI module development using Python libraries, including TensorFlow and scikit-learn, enhancing model capabilities and efficiency.
• Participated in data preprocessing and model evaluation, contributing to the successful training and validation of AI models.
• Integrated AI features into web applications, optimizing database performance and improving overall system responsiveness.

Developed an AI-powered travel chatbot using Python and Dialogflow to assist users in planning trips and booking services.

Built a full-stack mobile shop application using Django (backend) and React (frontend) to manage products, orders, and customers.

Designed a deep learning model to embed and extract secret information across multiple media formats (image, audio, and text).

Built a full-stack banking application using Django and PostgreSQL with secure money transfers, live currency conversion, and detailed fee breakdowns.

Developed a machine learning model to analyze genetic data and predict individual risk for lifestyle diseases such as diabetes and hypertension.

Secured 8th place out of 23 teams in a national-level hackathon, demonstrating strong teamwork, technical skills, and innovative problem-solving by developing an AI-powered Genetic Risk Predictor for lifestyle diseases.