Joshua Dayal Gnanamuthu
Intern @ Matryxsoft Tech
About
Incoming Freshman – Whiting School of Engineering, Johns Hopkins University | Passionate about Computer Science, Systems, Networking, and ML. Focused on building efficient, scalable, and innovative technology through engineering principles. Always exploring the deeper layers of how systems work — from low-level architecture to algorithms.
United States
Baltimore
Higher Education
Robot Operating System (ROS), Object Detection, Convolutional Neural Networks (CNN), C++, C (Programming Language), Pandas (Software), Flask, Java, Python (Programming Language), TensorFlow, Microsoft Excel, Tkinter
Experience
Intern
Matryxsoft Tech
Bangalore Urban
Trained a real-time image recognition model using YOLOv8 (Ultralytics), PyTorch, and Roboflow to classify 2,000+ beverage categories. Engineered an automated data pipeline using Python and the YouTube Data API to extract video captions and structure content for website generation, reducing manual data collection time by 10+ hours. Trained and evaluated food detection and classification models using TensorFlow (Keras), Ultralytics YOLO, and ResNet architectures, achieving 87% accuracy across 100+ dishes and 300+ ingredients. Built a Python computer vision solution using OpenCV to detect vacant shelf regions and estimate maximum bottle capacity based on bounding box dimensions and spatial constraints.
Education
The Johns Hopkins University
National Public School
Joshua Dayal Gnanamuthu's Contact Information
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