Sri Kavya Doctoral Student, Researcher
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With 3 years of teaching experience across academia and the ed-tech industry, I’m passionate about making learning engaging, practical, and impactful. I’m currently pursuing a PhD in Trustworthy AI for Healthcare, with a focus on Medical Image Processing. My research is centered on solving real-world problems in healthcare using AI, aiming to build safe, transparent, and effective solutions that can make a real difference.

Over the years, I’ve published papers in reputed journals and gained strong expertise in academic writing and research. My teaching style is student-centered and interactive—I believe in simplifying complex concepts through real-world examples, so students not only understand but also enjoy what they’re learning.

Whether you're a beginner or an advanced learner, I tailor each session to your goals—be it exam preparation, thesis guidance, industry projects, or deep research learning. I also bring the latest insights from my research directly into the classroom, so you're always learning what's relevant and cutting-edge.

Subjects I Teach:
1. Machine Learning & Deep Learning (PyTorch)
2. Computer Vision & Image Processing
3. Python for AI & Data Science
4. Research Paper Writing & Academic Guidance
5. AI Applications in Healthcare
6. Core Computer Science Subjects (Data Structures, Operating Systems, DBMS, etc.)

Why Learn With Me?
✅ Hands-on projects & coding exercises
✅ Help with research, thesis writing, and publishing
✅ Updated content from active research

Subjects

Image Processing Beginner-Expert
Deep Learning Beginner-Expert
Computer Vision Beginner-Expert
Computer science & applications Beginner-Expert
Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert

Experience

No experience mentioned.

Education

Doctor of Philosophy (Feb, 2024–now) from Queensland University of Technology
Master of Technology (Computer Science and Engineering) (Aug, 2018–May, 2020) from Koneru Lakshmaiah Education Foundation
Bachelor of Technology (Computer Science and Engineering) (Sep, 2014–Apr, 2018) from Prasad V Potluri Siddhartha Institute of Technology

Fee details

AU$10/hour (US$7.19/hour)

Courses offered

Deep Learning Fundamentals
- AU$300
- Duration: 30 days
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Telugu
- Certificate provided: No
Deep Learning Fundamentals is an advanced course designed to provide students with a comprehensive understanding of deep learning techniques and their applications. Throughout this course, students will explore the theoretical foundations and practical implementations of deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other state-of-the-art architectures.

Key topics covered in this course include:

1. Introduction to neural networks and deep learning
2. Fundamentals of gradient descent and backpropagation
3. Convolutional neural networks for image recognition and classification
4. Recurrent neural networks for sequence modeling and natural language processing
5. Generative adversarial networks (GANs) for image generation and synthesis
6. Transfer learning and fine-tuning pretrained models
7. Optimization techniques and regularization methods for deep learning models
8. Practical applications of deep learning in computer vision, speech recognition, and autonomous systems