Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning with strong foundations in Data Structures, Algorithms, OOP, and Database Systems. Experienced in building scalable full-stack applications integrated with predictive models and AI-driven automation. Passionate about designing end-to-end systems focused on performance, clean architecture, and real-world impact.
Built and deployed an LSTM-based predictive maintenance system using the NASA CMAPSS dataset to predict Remaining Useful Life (RUL). Incorporated advanced preprocessing, feature engineering, and model comparison (LSTM vs GRU). Developed a Streamlit dashboard for real-time decision support and visualization of predicted RUL trends.
Developed and deployed a fully responsive personal portfolio website using HTML, CSS, and JavaScript with interactive UI components and smooth animated scrolling. Structured project sections to effectively showcase technical skills across multiple devices and screen sizes.
SRM University AP, Amaravati | CGPA: 8.34
Sri Chaitanya Junior College | Score: 83.6%
Sri Chaitanya School | GPA: 10.00
Core Java SE language features, OOP, concurrency, and module system.
MongoDB data modeling, CRUD operations, aggregation, and indexing.
Python programming fundamentals and computational thinking.
React component fundamentals, hooks, and state management.
Full-stack healthcare platform with FastAPI, React, MongoDB, Redis, JWT auth, and Google OAuth. Built AI-assisted medical features including symptom chat, FAISS/LangChain RAG retrieval, and multimodal image diagnosis.
Full-stack MERN application with OpenAI-powered automated moderation, user profiles, text and image posting, Cloudinary media uploads, and an admin dashboard.
Healthcare analytics system using ML classification algorithms for patient risk assessment with 87.12% test accuracy and ROC-AUC of 0.85.
NLP-based system for extracting resume information and recommending relevant jobs using similarity techniques and machine learning algorithms.
Real-time multi-user drawing application with synchronized canvas using WebSockets and Socket.io technology.
Responsive e-commerce application with shopping cart and user authentication features built with vanilla JavaScript.
A task management web app with CRUD, drag-and-drop prioritization, local persistence, and optional server sync for multi-device support.
Interactive calendar application with event creation, reminders, and drag-to-reschedule features. Supports monthly, weekly, and daily views.
Secure online banking simulation with authentication, account management, transaction history, and role-based access control for customers and admins.
LLM-powered chatbot for customer support with context retention, intent classification, and a simple admin dashboard for conversation review.