MS in Electrical & Computer Engineering
Track: Machine Learning and Data Science
GPA: 3.70/4.00
Academic Coursework
- ECE 285 - Deep Generative Models
Fundamentals and state-of-the-art techniques in generative modeling, covering key architectures such as VAEs, GANs, Diffusion Models, and LLMs.
- CSE 258 - Recommender Systems and Web Mining
Focuses on advanced techniques in recommender systems, and predictive analytics, emphasizing practical application of machine learning research.
- DSC 291 - Machine Learning for Few Labels
Covers ML with limited labels, including few-shot, self-supervised, and reinforcement learning, focusing on their foundations, and practical use cases.
BS in Electrical Engineering
Track: Electronics and Telecommunications
GPA: 4.00/4.00
Academic Coursework
- Machine Learning - Artificial Neural Networks, Machine Learning, Deep Learning, Image and Video Processing
- Mathematics - Probability & Statistics, Calculus, Linear & Vector Algebra
- Computer Science - Data Structures and Design of Algorithms, Cloud Computing, Internet of Things (IoT), Information Theory
Travel Grants Coordinator
- Working with the financial wing of the Graduate and Professional Student Association to support students facing financial constraints, enabling them to participate in academic conferences.
- Coordinated the administration of over 1500 travel grant applications annually, ensuring all applications were reviewed and processed efficiently.
- Liaised with students, faculty, and the financial department to resolve queries and provide guidance on application submission and fund disbursement.
- Maintained accurate records of grant allocations, ensuring compliance with university guidelines and financial policies.
