I enjoy learning new AI techniques and sharing insights with a broader audience through my technical writings. I am passionate about applying cutting-edge technologies to domain-specific challenges in areas like healthcare, finance, and autonomous systems.
My expertise lies in leveraging advanced machine learning algorithms, deep learning techniques, and data science principles to drive impactful solutions. With a strong foundation in data wrangling, feature engineering, and advanced statistical methods, I continuously stay ahead by exploring emerging trends such as Explainable AI, Transfer Learning, and AutoML.
Additionally, I focus on Model deployment and monitoring to ensure efficient real-world integration and maintenance. My recent focus includes advancements in Large Language Models (LLMs), Prompt Engineering, Model Optimization, Generative AI, and Ethical AI.
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| Docker | FastAPI | Git | Gradio | Scikit-Learn |
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| Typesense | Hugging Face | Matplotlib | MongoDB | MLflow | Haystack |
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| Opensearch | Seaborn | PyTorch | Pandas | PyCaret | Neo4j |
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| TensorFlow | Keras | Microsoft-azure | Mysql |
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| Python | NumPy | MS-power-bI | Streamlit |
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| LangChain |
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