I'm a CSE student Learning in Artificial Intelligence and Machine Learning, with a strong focus on Computer Vision and Generative AI. I build models that solve real-world problems, from disaster management to automated severity analysis.
- Languages: Python, C++, C, Java
- AI/ML: PyTorch, TensorFlow, Vision Transformers (ViTs), YOLOv8, ZoeDepth, Real-ESRGAN
- Tools & Environments: Linux, Git, Jupyter, Google Colab
- 2nd Place, Hackyard (Perception): Developed "Sat-X," an AI-driven pipeline for super-resolving Sentinel-2 satellite imagery to aid in disaster management.
- Deepening my understanding of neural network architectures and optimizing models for edge devices.
- Building out end-to-end computer vision pipelines.