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saamm/README.md

About Me :

I am motivated to build solutons that helps accelerate science. I enjoy building intelligent systems at the intersection of machine learning, data engineering, and human-centered interfaces. My projects focus on designing and implementing scalable pipelines and interactive applications that translate complex data and models into accessible tools for scientific exploration and decision-making.

Through hands-on work in areas such as multimodal retrieval, deep learning, and applied AI systems, I aim to enhance how science and technology interact—by creating robust implementations that support discovery, interpretation, and real-world impact. I am particularly motivated by projects that bridge theory and practice, enabling advanced algorithms to be deployed in meaningful and usable forms.

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  1. Multiagent_Trading_Analyst Multiagent_Trading_Analyst Public

    Multi-agent system built using CrewAI that analyzes stock data and generates trading decisions using real-time market information.

    Python

  2. Agentic_RAG_for_PUBMED Agentic_RAG_for_PUBMED Public

    An open-source Agentic RAG system for biomedical literature mining that integrates dynamic PubMed retrieval, FAISS-based vector search, local LLM reasoning, and SHAP-based explainability.

    Python

  3. DoctorAI DoctorAI Public

    An end-to-end Streamlit application that performs vision-language inference on medical images using Google Gemini APIs, producing structured clinical observations and recommendations through prompt…

    Python

  4. agentic_astrarag_chatbot agentic_astrarag_chatbot Public

    Containerized Agentic RAG system acting as an AI science tutor for Class 12 Biology. It uses tool-using agents to retrieve relevant textbook knowledge from a vector database and generate grounded, …

    Python

  5. microscopy_self_supervised_learning microscopy_self_supervised_learning Public

    Self-supervised learning on biological images

    Jupyter Notebook

  6. Bioinformatics Bioinformatics Public

    A collection of bioactivity prediction notebooks, machine learning tools, visualizations, and demo apps focused on computational analysis of bioactivity and bioinformatics data.

    Jupyter Notebook