Anusha Mahesh
Teaching Assistant @ Rochester Institute of Technology
About
I’m a Master’s student in Computer Science at Rochester Institute of Technology, currently focusing on machine learning and data analytics I’ve gained hands-on experience through an ML internship where I worked on building predictive models using healthcare data. As part of my graduate coursework, I’ve also worked on projects such as personalized federated learning (FedPer) for non-IID data and a biometric security system. I’ve additionally written a course research paper analyzing reasoning architectures in large language models. I’m interested in applied machine learning, distributed learning, and research-oriented AI, and I’m actively looking for Summer 2026 internship opportunities. Feel free to connect if you’d like to talk about projects, research, or opportunities.
United States
Rochester
Computer Software
MATLAB, Object-Oriented Programming (OOP), Algorithms, Digital Watermarking, Data Encryption, Biometric Authentication, Data Visualization, MySQL, Data Analysis, PyTorch, OpenCV, scikit-learn, Pandas, NumPy, Java, Python (Programming Language), Computer Vision, Model Evaluation, Feature Engineering, Classification Algorithms
Experience

Machine Learning Intern
Bengaluru, Karnataka, India
Built and evaluated supervised ML models for cancer risk prediction using structured healthcare data. Preprocessed and engineered features from 1,000+ patient records; conducted exploratory data analysis. Implemented and compared Random Forest, SVM, and K-Means classifiers; evaluated performance using accuracy and confusion matrices. Identified key clinical and lifestyle features influencing cancer prediction outcomes.
Education

Information Science/Studies
Relevant Coursework: Data Structures and Applications; Design and Analysis of Algorithms; Operating Systems; Database Management Systems; Computer Networks and Security; Artificial Intelligence and Machine Learning
Anusha Mahesh's Contact Information
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