I am a Data Science Graduate | ๐ค AI Engineer | ๐ฌ NLP Enthusiast, passionate about building practical ML/DL solutions
You can reach me through LinkedIn
Here are some of the projects I've been working on:
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Improving Retrieval Mechanism in Retrieval-Augmented Generation Architecture (NLP, RAG): Multiple transformer models were trained and improved through finetuning to evaluate their capabilities for the retrieval task. Tech: Hugging Face, VectorDBs,
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Caltech Classification and Fine Tuning on AlexNet (Classification, Deep Learning): AlexNet model was used to predict in low data regimes and a large number of classes. different fine-tuning techniques were used to improve the accuracy. Tech: Weights&Biasses, Pytorch
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Machine Learning Based Natural Language Querying of Automotive Data (Information Retrieval, Deep Learning): A RAG architecture was designed to remove the intermediaries in the automotive industry, COLBERT architecture was implemented as State of the Art. Tech: Python, PyTorch
- Audio Intent Detection (Classification, Deep Learning): A deep learning model was designed to classify audio files using MFCC method. Tech: Python, TensorFlow, Keras
Feel free to explore and contribute!