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ArjunPramod/README.md

Hi, I'm Arjun Pramod 👋

Junior Machine Learning Engineer with hands-on experience in building machine learning models for NLP and computer vision tasks. I focus on end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment-ready inference applications.

My work emphasizes strong fundamentals in classical machine learning, applied NLP, and practical deployment using REST APIs. I enjoy working on real-world datasets and turning trained models into usable inference services.

🔧 Tech Stack

Languages

  • Python, SQL

Machine Learning & Data

  • Machine Learning, Deep Learning, Neural Networks
  • scikit-learn, TensorFlow, PyTorch
  • Pandas, NumPy
  • Feature Engineering, EDA, Model Evaluation
  • Data Science, Data Analytics

NLP & Computer Vision

  • Natural Language Processing (NLP)
  • NLTK, spaCy
  • Transformers (Hugging Face)
  • LLMs (applied usage), LangChain
  • Computer Vision, OpenCV

Visualization

  • Matplotlib, Seaborn

Deployment & Tools

  • FastAPI (REST APIs)
  • Docker
  • AWS (EC2, S3)
  • Git

📌 Featured Projects

I pin my most relevant projects on my GitHub profile.
Each repository includes a detailed README explaining the problem statement, approach, and results.

📈 Current Focus

  • Improving model evaluation and error analysis
  • Strengthening fundamentals in machine learning and statistics
  • Building clean, reproducible ML pipelines
  • Learning practical ML deployment patterns

📫 Connect

Pinned Loading

  1. rag-text-qa-langchain-huggingface rag-text-qa-langchain-huggingface Public

    Retrieval-Augmented Document QA system using LangChain, FAISS, and FastAPI to answer questions grounded in custom documents with source citations. Dockerized and deployed on AWS EC2.

    Python

  2. Product-Review-Sentiment-Analysis Product-Review-Sentiment-Analysis Public

    An end-to-end NLP project that classifies product reviews as Positive or Negative using TF-IDF features and a Linear SVM model, deployed as an interactive Streamlit web application.

    Jupyter Notebook

  3. SMS-Spam-Classifier SMS-Spam-Classifier Public

    NLP spam detection system using TF-IDF and Logistic Regression. Complete pipeline with training, evaluation, model saving, and a live Streamlit app for real-time SMS classification.

    Jupyter Notebook

  4. ResumeMatch-AI ResumeMatch-AI Public

    Match your resume with job descriptions and get skill analysis plus improvement suggestions.

    Python

  5. FireDetectNet FireDetectNet Public

    FireDetectNet is an open-source project for automating fire detection in images using advanced CNNs. Train, evaluate, and deploy a robust model to enhance fire safety and emergency response efforts…

    Jupyter Notebook