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Hi there, I'm Mathurakshi Mahendrarajah 👋

🚀 About Me

I am a third-year Computer Engineering undergraduate with strong skills in software development and a passion for Machine Learning, Artificial Intelligence, and Generative AI.
I work on building applications integrating AI-powered solutions, including RAG-based systems and domain-specific NLP pipelines.

I focus on applying AI and software development skills to solve complex problems, build interactive applications, and explore innovative technologies.


🛠️ Skills & Tools

Programming Languages: Python, C++, Java, JavaScript

Machine Learning & AI: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/Keras, PyTorch, LangChain, LLM, SLM, RAG

Web Development: Streamlit, Flask, Gradio, Flutter, Spring Boot, Firebase, MySQL

Cloud & Deployment: Docker, AWS (basic)

Version Control & Tools: Git & GitHub, Jupyter Notebook, Google Colab, VS Code

Soft Skills: Problem Solving, Team Collaboration, Fast Learner, Adaptability, Communication

python pandas numpy matplotlib scikit_learn pytorch tensorflow aws streamlit


📈 What I’m Learning

  • Advanced LoRA and PEFT techniques for SLMs
  • Building RAG-powered AI systems
  • Fine-tuning models for domain-specific NLP tasks
  • Continuous learning in software development and cloud-based deployments

📫 Connect with Me


“Focused on practical AI/ML applications and software development, solving real-world problems, and continuously learning to innovate.”

Pinned Loading

  1. House_Price_Prediction House_Price_Prediction Public

    Python

  2. Pneumonia-Detection Pneumonia-Detection Public

    CSS

  3. Portfolio Portfolio Public

    CSS

  4. MobileApp MobileApp Public

    Dart 1 1

  5. Complaint-intelligence-system Complaint-intelligence-system Public

    Python

  6. Credit_Card_Fraud_Detection Credit_Card_Fraud_Detection Public

    A Streamlit web app that predicts fraudulent credit card transactions using XGBoost. Enter transaction and customer details to get real-time fraud predictions with probability scores and visual fee…

    Jupyter Notebook