Mokshith Yj

Motivated Computer Vision Engineer with expertise in Deep Learning, Object Detection (YOLO), Image Segmentation (U Net,SAM), and Medical Image Analysis. Strong problem-solving skills with hands-on experience in PyTorch, TensorFlow, OpenCV, and model deployment. Passionate about building AI-powered solutions for real-world applications.

You worked as a Machine Learning Intern at TechCiti Software Consulting Private Limited in Bengaluru, India from November to December 2024. During this time, you:

• Developed an oral disease classification model using InceptionResNetV2 that achieved 96% accuracy
• Processed thousands of medical images to improve diagnostic accuracy
• Implemented deployment strategies for real-world application

You're pursuing a Bachelor of Engineering in Artificial Intelligence and Data Science at Navkis College of Engineering (2021-2025) with a 7.4 CGPA, focusing on deep learning and machine learning.

Your projects showcase expertise in:

• Medical imaging (brain tumor segmentation with U-Net)
• Computer vision (tennis player/ball detection using YOLO)
• Advanced AI models (Vision Transformer implementation)
• Autonomous systems (obstacle avoidance using YOLO and DeepSORT)