Daniel Moirangthem

M.Tech Artificial Intelligence graduate and Computer Science graduate with hands-on experience in AI QA, data annotation, computer vision, OCR/text detection, RAG-based applications, and AI teaching support. Skilled in preparing labeled datasets, reviewing model outputs, following task guidelines, and building practical AI/web projects using Python, CVAT, Roboflow, YOLO, OpenCV, LangChain, Streamlit, and ChromaDB.

Work-Based Learning / Teaching and Lab Support at NIELIT, Imphal (2025-10 – 2026-04)

• Conducted CCC classes covering computer fundamentals, MS Office, internet basics, and digital literacy for diverse learners.
• Taught NSQF Level 3.5 AI fundamentals, including Python basics, data annotation concepts, AI ethics, and practical AI awareness.
• Delivered hands-on data annotation sessions using CVAT, Roboflow, and YOLO formats for computer vision dataset preparation.
• Annotated and reviewed image datasets for object detection tasks, including waste-disposal items, vehicles/cars, and natural-scene signboards.
• Prepared YOLO-ready datasets by checking bounding boxes, class names, label consistency, and train/validation organization.
• Supported computer lab readiness by checking software, hardware, and training resources before practical sessions.

M.Tech in Artificial Intelligence – National Institute of Electronics and Information Technology (NIELIT), Imphal (2024 – 2026)

B.Tech in Computer Science and Engineering – Manipur Technical University (2020 – 2024)