Navaneeth User

I am a Computer Science undergraduate with strong foundations in data structures, algorithms, and full-stack web development, complemented by hands-on experience in machine learning. I consistently apply rigorous engineering practices to build scalable, production-ready applications.

I engineered a CNN-based plant disease detection system using TensorFlow and OpenCV, optimizing preprocessing and inference for reliable, near real-time predictions. I also built Campus Bite, a MERN-stack food delivery platform with JWT authentication and role-based access control to modernize campus operations.

As Technical Lead at a student community, I direct workshops for 100+ students on DSA and modern web development while sharing technical learnings on LinkedIn. My strong problem-solving abilities are demonstrated by solving 350+ LeetCode problems and completing the 100 Days of Code challenge.

I seek opportunities where I can contribute to impactful products, grow my ML and backend expertise, and work within collaborative, learning-focused engineering teams.