🔭 I’m currently working on:
AI & Machine Learning projects focused on Computer Vision, Deep Learning, and Generative Models (YOLO, GANs, Diffusion Models, Transformers).
👯 I’m looking to collaborate on:
Open-source projects in AI/ML, Computer Vision, NLP, Model Optimization, and Research-driven ML systems.
🤝 I’m looking for help with:
Advanced model optimization, explainable AI (XAI), machine unlearning, and efficient deployment of deep learning models.
🌱 I’m currently learning:
Transformer architectures, Diffusion Models, Resource-efficient AI, Neuro-symbolic AI, and Quantum-enabled Machine Learning.
💬 Ask me about:
Machine Learning, Deep Learning, Computer Vision, CNNs, Transformers, GANs, Diffusion Models, NLP, and AI research workflows.
⚡ Fun fact:
I enjoy breaking complex AI concepts into simple, intuitive ideas and then turning them into real, working systems 🚀
Popular repositories Loading
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Network-Intrusion-Detection-RNN-LSTM
Network-Intrusion-Detection-RNN-LSTM PublicNetwork Intrusion Detection System using the UNSW-NB15 dataset with Random Forest, LSTM, and Attention-based Deep Learning models for binary and multi-class attack detection.
Jupyter Notebook 1
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RAG-langchain-chroma
RAG-langchain-chroma PublicA Retrieval-Augmented Generation (RAG) pipeline built with LangChain, Hugging Face Embeddings, and ChromaDB for efficient PDF document indexing and question answering.
Python 1
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BERT-Document-Analyzer
BERT-Document-Analyzer PublicAn AI-powered document analysis system built with FastAPI and a fine-tuned BERT model. Supports text, PDF, Word, Excel, CSV, and image classification with OCR-based text extraction.
Python 1
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