GAYATHRI KANAGARAJ

Highly motivated Master's student in Computer Science with a strong passion for both software development and machine learning. Eager to launch my career as a full-time Software Engineer or Machine Learning Engineer starting in 2026. I'm committed to using my academic achievements and practical experience to contribute to cutting-edge and impactful projects.

Musical Machine (C++ Object-Oriented Programming & SDFC, Undergraduate)

Designed and implemented a musical machine from concept to functional project.

Created UML class diagrams to architect the system structure.

Utilized CMake build tools for project compilation and management.

Developed multiple classes and applied design patterns such as Iterator and Visitor for extensibility

and maintainability.

Brain MRI Classification & Object Detection (Computer Vision, Master’s)

Built a system for classification and object detection on brain MRI images.

Implemented tumor type classification and object recognition using bounding box localization.

Applied deep learning techniques for medical image analysis and interpretation.

________________________________________________

Federated Learning with Diffusion Models (Master’s - Parallel computing & Distributed Systems)

Developed a federated learning framework using diffusion models to generate handwritten images.

Set up a decentralized clients and server architecture for collaborative model training.

Explored privacy-preserving machine learning in distributed environments.

• Data Analytics Specialization, Google (Coursera), 06/22
• Computer Science Research Mentorship Program, Google, Class of 20228
• Computer Vision Nano-degree, Udacity, 02/24
• Machine Learning Nano-degree, Udacity, 04/24
• Deep Learning Nano-degree, Udacity, 01/24
• Natural Language Processing Nano-degree, Udacity, 05/24