I'm a Computer Science student passionate about pushing the boundaries of artificial intelligence.
Currently, I'm exploring novel architectures for medical image analysis and investigating how quantum machine learning can accelerate AI research.
A low-cost deep learning system for automated melanoma diagnosis. It uses an ensemble of 5 ConvNeXt models with specialized medical preprocessing pipelines optimized for dermatological imaging.
98.59%
Recall
98.59%
Precision
Clinical-grade
Performance
Proof-of-concept for accessible diagnostic aids in underserved regions.
A comparative study investigating "Quantum Advantage" in low-data medical imaging scenarios. Tested Hybrid Quantum-Classical networks against standard CNNs under controlled conditions.
+6.4%
Accuracy
+6.7%
Precision
Quantum Advantage
Finding
Demonstrated quantum generalization benefits in data-scarce environments.
Building real-world products that solve everyday problems.
Gym Tracker App
A comprehensive mobile application for tracking workouts and monitoring progress in real-time. Designed with a focus on intuitive UX and powerful data visualization to help users achieve their fitness goals.
More applications in development...
View All Projects04. What's Next?
I'm currently open to research collaborations and opportunities in AI/ML. Whether you have a question or just want to say hi, feel free to reach out!
Say Hello