Ramvisweshvar Prabakaran

I am an AI & Machine Learning graduate with hands-on experience building and optimizing ML and deep learning models using TensorFlow, Keras, and PyTorch. I combine strong Python skills with practical knowledge of NLP, image & video processing, and model evaluation to deliver measurable results.

I've contributed to internships and projects that automated data pipelines, improved model performance, and produced clear stakeholder reports using metrics such as precision, recall, F1-score, and ROC-AUC. My projects include a CNN-based face mask recognition system and NLP prototyping using large language models.

Alongside ML work, I have a solid software engineering foundation—experience with Node.js, Express, React, databases (MySQL, MongoDB), and cloud platforms (AWS, GCP)—which helps me integrate models into scalable backend systems. I emphasize clean, maintainable code and collaborative development practices using Git and VS Code.

I am eager to contribute to AI-driven products in a collaborative team where I can continue growing as a reliable engineer, mentor peers, and tackle real-world problems with robust, production-ready solutions.