Madhumitha

Final-year BTech Computer Science (AI&ML) student with a strong interest in building intelligent computer vision systems using CNN, Vision Transformers. My work focuses on computer vision, deep learning, and explainable AI, federated learning with hands-on experience developing AI applications ranging CNN-based defect detection systems to Vision Transformer-based quality classification models. I enjoy solving practical problems through technology and am looking to contribute to real-world AI projects while continuing to learn and grow as an AI engineer.

Computer Vision Intern - DRDO (Defence Research and Development Organization) - Bengaluru

(2024-01 - 2025-01)

• Worked on Detection on Drone using Convolutional Neural Network (CNN) — engineered an image and video preprocessing pipeline, including feature extraction and dataset preparation, to improve detection accuracy and model reliability.
• Conducted model validation and performance evaluation of drone object detection models across diverse image and video datasets

Web Development Intern - The Healing Presence

(2025-01 - 2026-01)

• Redesigned and optimized the organization's website using HTML, CSS, JavaScript, and Word Press, improving performance and responsiveness.

BTech - Computer Science (AI&ML) - CHRIST (Deemed to be University), Kengeri Campus, Bengaluru (2023-01 - 2027-01)

Pre-University Course - PCMC - Mount Carmel PU College, Bengaluru (2021-01 - 2023-01)

Class X - ICSE - St Mary Public School, Bengaluru (2020-01 - 2020-01)