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Md-Emon-Hasan/README.md

Hello, I am Emon Hasan

Hi there 👋 I am Emon Hasan

💫 About Me:

Hi, I am Md Emon Hasan from Bangladesh. I am a full-stack, end-to-end AI/ML & Agentic AI engineer with comprehensive experience in designing, implementing, and deploying production-ready, multi-agent AI systems. My work spans the entire AI/ML lifecycle, including data collection, preprocessing, feature engineering, model development, fine-tuning (QLoRA / LoRA / PEFT / SFT), evaluation, and scalable deployment.

I specialize in integrating AI/ML models into real-time, tool-augmented, and scalable applications, leveraging multi-agent architectures, LangGraph/AgentOps orchestration, and intelligent reasoning workflows. With a solid foundation in both front-end and back-end development, I ensure AI solutions are not only high-performing but also reliable, maintainable, and enterprise-ready.

I am passionate about building intelligent, adaptive, and real-world AI systems that drive innovation, efficiency, and measurable impact.

md-emon-hasan

🌐 Socials:

Facebook Instagram LinkedIn Pinterest TikTok Twitter

💻 Tech Stack:

Core Language:

Python Java C C++ PHP JavaScript

Web Development:

HTML5 CSS3 Bootstrap JavaScript jQuery

Data Science / ML:

Anaconda Jupyter NumPy Pandas Matplotlib Seaborn scikit-learn TensorFlow Keras PyTorch MySQL MongoDB

NLP / Transformers:

NLTK spaCy Gensim Transformers BERT TextBlob word2vec Beautiful Soup Regex TF-IDF

Generative AI, LLM Tools & Frameworks:

Hugging Face Transformers LangChain LangGraph LangSmith LangServe AgentOps RAG VectorDB Chroma FAISS Redis SFT PEFT LoRA QLoRA

Deployment, MLOps & AgentOps:

Flask FastAPI Streamlit Gradio TensorFlow Serving ONNX Docker DVC Jenkins GitHub Actions CircleCI AgentOps Render

📊 GitHub Stats:

md-emon-hasan md-emon-hasan

md-emon-hasan

🏆 GitHub Trophies

md-emon-hasan

✍️ Random Dev Quote

🔝 Top Contributed Repo

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  1. AutoDocThinker AutoDocThinker Public

    Agentic AI system that allows users to upload documents (PDFs, DOCX, etc.) and natural language questions. It uses LLM-based RAG to extract relevant information. The architecture includes multi-age…

    Jupyter Notebook 1

  2. InformaTruth InformaTruth Public

    Fine-tuned roberta-base classifier on the LIAR dataset. Aaccepts multiple input types text, URLs, and PDFs and outputs a prediction with a confidence score. It also leverages google/flan-t5-base to…

    Jupyter Notebook 1 1

  3. MediGenius MediGenius Public

    Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallb…

    Jupyter Notebook 2

  4. Translatica Translatica Public

    Spanish literary translation system, fine-tuned using PEFT with LoRA for high accuracy and minimal compute cost. Built with an intuitive, premium-grade web interface (Flask + Bootstrap + custom ani…

    Jupyter Notebook 1

  5. TrueWealth-AI TrueWealth-AI Public

    An intelligent financial advisor chatbot powered by LLaMA-3, built with LangGraph for structured reasoning, RAG from The Intelligent Investor PDF, and real-time data from Yahoo Finance and DuckDuck…

    Jupyter Notebook 1 1

  6. BookSage-AI BookSage-AI Public

    Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via …

    Jupyter Notebook 6 1