I work on designing AI systems, developing machine learning models, and applying computer vision techniques, Right Now in the field of semiconductor technology. I enjoy creating practical, efficient solutions and working with expertise in intelligent systems

• A neural network-based color quantizer that reduces the number of colors in images for various applications like compression and artistic effects.
• Uses K-Means clustering for color palette reduction and MSE loss for optimization.
• Implements a PyTorch model for efficient training and inference.

• Implements the Proximal Policy Optimization (PPO) algorithm using TensorFlow and NumPy for reinforcement learning.
• Focuses on policy optimization and dynamic action selection in uncertain environments.

• A machine learning model that detects defects in semiconductor wafer images using convolutional neural networks (CNNs).
• Employed for quality control in semiconductor manufacturing, reducing the need for manual inspection.

• Machine Learning & AI: TensorFlow, PyTorch, Keras
• Computer Vision: OpenCV, Image Processing, NLP
• Reinforcement Learning: PPO, Q-Learning, DCGAN
• Data Science: Pandas, Numpy, Seaborn , Dash

• Advanced Reinforcement Learning techniques
• Natural Language Processing (NLP) with Transformer models
• Deep Learning for image analysis
• Mixture Models

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• NO FUN FACTS ❌