Mokshith Yj
Computer vision engineer
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About
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.
Experience
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
Education
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)
