Computer Science and Engineering student focused on full-stack development, AI, and machine learning
Computer Science and Engineering student with hands-on experience in frontend development, full-stack applications, AI-powered platforms, RAG systems, and machine learning.
CodeAlpha
Jul 2025 – Aug 2025
Developed two web projects, including a portfolio website and task management application, using HTML, CSS, and JavaScript. Applied responsive design across mobile, tablet, and desktop devices and debugged UI and functionality issues to improve application performance.
Bachelor of Technology, Computer Science and Engineering
2023 – 2027
CGPA: 7.32
Senior Secondary
2020 – 2022
Percentage: 84.8
Secondary
2018 – 2020
Percentage: 83.8
Bachelor of Technology - BTech, CSE
Oct 2023 - Aug 2027
High School
Apr 2018 - Mar 2020
Intermediate, Applied Mathematics
Apr 2020 - May 2022
Built a full-stack AI-powered healthcare platform combining Ayurveda, generative AI, and machine learning for personalized health recommendations and disease risk prediction. Developed a LangGraph-based multi-agent architecture using RAG, OpenAI API, Gemini, and ChromaDB, and created REST APIs with Node.js, Express.js, and FastAPI using PostgreSQL and MongoDB.
Designed an AI-powered travel planning platform using Node.js, React, and MongoDB for more than 50 users. Integrated Google Maps, Places, and Location APIs for real-time navigation and personalized recommendations, with backend services for itinerary generation and budget optimization.
Implemented a multimodal RAG system using Python, LangChain, ChromaDB, Hugging Face Embeddings, and Groq Llama 3 for question answering over text documents and OCR-extracted images. Used hybrid semantic retrieval and entity-aware context filtering, and evaluated the pipeline with RAGAS metrics including 0.83 Context Precision, 1.00 Context Recall, and 1.00 Faithfulness.