Hi, I'm
A student passionate about building intelligent systems using deep learning, NLP, and computer vision.
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I'm an AI student focused on deep learning, NLP, and computer vision. I like building things that work, like denoising images or analyzing text sentiment.
I use PyTorch, TensorFlow, Hugging Face, and LangChain. Always trying new stuff and learning as I go.
PyTorch
TensorFlow
Keras
JAX
Scikit-Learn
XGBoost
Pandas
NumPy
Hugging Face
LangChain
Transformers
Sentiment Analysis
OpenCV
Ultralytics YOLO
Image Processing
Object Detection
Deep Learning / Computer Vision
A convolutional autoencoder architecture trained to denoise images by learning compressed representations. The model effectively removes Gaussian noise while preserving fine image details and structural integrity.
NLP / Text Classification
Implementation of the TextCNN architecture for text classification tasks. Uses multiple filter sizes for convolutional operations over word embeddings to capture n-gram features at different granularities for accurate classification.
NLP / Transformers
A transformer-based model built from scratch for sentiment analysis. Implements self-attention mechanisms and positional encoding to capture contextual relationships in text for accurate sentiment classification.
I'm always open to new opportunities, collaborations, and interesting AI projects. Whether you have a question or just want to say hi, feel free to reach out!
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