Artificial Intelligence Intern
Aspiring AI/ML Engineer with hands-on experience building end-to-end Generative AI and Computer Vision systems, including real-time crowd monitoring and LangChain-powered RAG assistants.
Framewirk.com (AICTE NEAT 5.0 – Agnirva AI)
June 2026–Present
Selected for an AI internship under the AICTE NEAT 5.0 initiative; engineered and evaluated end-to-end Generative AI workflows using LLMs, prompt engineering, and modern AI frameworks; contributed to internal AI feature integration and testing, prompt optimization, model evaluation, feature development, testing, and deployment activities.
Agnirva.com Learning Network
3 mos
Internship under the AICTE NEAT 5.0 Agnirva AI Internship Program. Working on Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and Generative AI through hands-on learning and practical assignments.
B.Tech, Electronics and Communication Engineering
2023–2027
CGPA: 7.4/10
Bachelor of Technology - BTech, Electronics and Communications Engineering
Oct 2023 - Oct 2027
Built a real-time computer vision pipeline using YOLOv8 for person detection and crowd-density estimation, achieving approximately 92% detection accuracy; designed a Streamlit dashboard for real-time crowd analytics; integrated Telegram alerts with evidence snapshots in under 3 seconds; optimized SQLite for over 1,000 simulated event records.
Developed a Retrieval-Augmented Generation application for context-aware question answering over multi-page PDF documents using Hugging Face embeddings and FAISS; implemented recursive text chunking and prompt engineering; built a Streamlit interface with multi-document upload, conversational history, and source-aware responses.
NGO