Heeman User

I am a motivated Computer Science undergraduate with hands-on experience building real-time AI applications and full-stack projects. I specialize in machine learning, Python, and web development, and I bring practical experience from academic projects and virtual internships.

My projects include a YOLO-based real-time food recognition app with a React frontend and Firebase backend, a TypeScript-powered recipe finder, and a TensorFlow/Keras emotion detection system for images and live video. I emphasize building scalable, responsive interfaces combined with reliable ML pipelines.

I have completed internships as a Data Analyst, Android Developer, and AI-ML practitioner, where I analyzed datasets, implemented Android UI using Kotlin, and developed supervised and unsupervised ML models. I hold certifications in Cloud Computing and multiple programming and Python essentials courses.

I consistently pursue competitive, impact-driven work—highlighted by a top placement in an Agri-Tech Hackathon—seeking to apply analytical problem-solving to real-world, data-driven products in an entry-level Software Engineer or ML Engineer role.