I'm a passionate developer and data scientist with a focus on AI, Machine Learning, and Computer Vision ans Semiconductor Technology . Have Fun reading some of my key projects I've worked on and my areas of expertise .
- 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, Object Detection
- Reinforcement Learning: PPO, Q-Learning
- Data Science: Pandas, Numpy, Matplotlib, Seaborn
- Advanced Reinforcement Learning techniques
- Natural Language Processing (NLP) with Transformer models
- Deep Learning for image analysis
- Mixture Models
- NO FUN FACTS ❌