Ramvisweshvar Prabakaran

AI & Machine Learning graduate with strong proficiency in Python, Deep Learning, Natural Language Processing and IVP. Hands-on experience developing and optimizing ML models for practical problem statements, with a solid grasp of data workflows and model integration. Complemented by a strong software engineering foundation in building scalable backend systems and writing clean, maintainable code. Eager to contribute to AI-

driven products while growing as a reliable software engineer in a collaborative team environment.

INTERNSHIP

Python Intern

CodeX January 2024 - March 2024, Kolkata, India

• Worked on Python scripting, debugging, and basic automation tasks.
• Assisted in developing and optimizing small applications.
• Gained practical exposure to real-world coding practices and teamwork.

Artificial Intelligence Internship

Brainwave Matrix Solutions December 2024 - May 2025, Noida, India

• Designed and implemented AI/ML models using TensorFlow, Keras, and PyTorch to address real-world business problems.
• Evaluated model performance using precision, recall, F1-score, and ROC-AUC, and preparedclear performance reports for stakeholders.
• Automated data preprocessing pipelines significantly reduce manual effort and improvescalability for large datasets.

Machine Learning Internship

HubbleMind May 2024 - August 2024, Bengaluru, India

• Assisted in building ML models and experimenting with feature engineering techniques.
• Documented findings and collaborated with the development team.

Bennett University

Bachelor of Technology,Computer Science Engineering and Technology in AI-ML