KYLE LEWIS

Motivated software developer with a passion for building efficient, scalable, and user-centric applications. Strong problem-solving skills, and a commitment to delivering high-quality solutions. Seeking to contribute to a dynamic team and work on innovative projects.

• Farm ERP System
  Built a full-stack web app to streamline farm operations, crop planning, and inventory management. Integrated weather forecasting and ML models for crop and fertilizer recommendations.
  Tools: Flask, Python, MySQL
  Key Learnings: Backend development with Flask, machine learning model integration.
• Plant Disease Detection using CNN
  Developed a real-time disease detection system using convolutional neural networks (CNNs) to classify infected plant leaves. Implemented a full deployment pipeline with Streamlit and integrated image preprocessing, segmentation, and feature extraction for accurate classification.
  Tools: Python, TensorFlow, Streamlit
  Key Learnings: Deep learning (CNN), image processing, model deployment for real-world agricultural applications.

• Kyle Lewis, Saba Tahseen, Lokesh V, Rajsree S. "Efficient and Robust Deep Learning for Real-Time Plant Disease Detection using CNN." Published in IEEE Xplore, 2025.

• Attended seminars and workshops on R programming, Flutter, neural networks, and AI for teens
• Certified in CSS, Bootstrap, JavaScript, and Web Development from Udemy
• Certified in the 'C# Complete Beginners Guide' from Udemy
• Certified in 'Introduction to Git and GitHub' from Coursera
• Volunteered as the head coordinator for a college sports tournament
• Volunteered for different social activities like Swatch Bharat Initiative, Rainwater management awareness, etc under Connect4Society