🚀 Computer Vision Enthusiast | Deep Learning Student.
💡 Constantly pushing boundaries in AI and building custom models from scratch.
🔍 Passionate about creating intelligent systems using CNNs, ResNet, and creative architectures.
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🧥 Fashion MNIST Classifier Built a fully custom CNN model from scratch with Skip Connections and Learning Rate Scheduling in PyTorch. Achieved competitive accuracy!
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🔢 MNIST Classifier Achieved 96% test accuracy using a lightweight custom CNN.
- I dedicate myself to learning and experimenting daily to create innovative Computer Vision solutions.
- Languages: Python
- Deep Learning Frameworks: PyTorch
- Computer Vision Techniques: Classification,CNNs, ResNet, YOLO, Data Augmentation,Skip Connections,Learning rates.
- Development Tools: GitHub, Git, Jupyter Notebook,Kaggle
🔍I’m a passionate and dedicated computer vision enthusiast, constantly exploring the endless possibilities of AI and deep learning. Every day, I challenge myself to learn, create, and push the boundaries of innovation. I thrive on solving complex problems and turning ideas into impactful solutions. With a curious mind and a relentless drive for growth, I’m not just building models — I’m building a future where technology empowers and transforms lives. If you’re as passionate about innovation as I am, let’s connect and create something remarkable together.
