π MS in Computer Science @ New York University (NYU Tandon School of Engineering)
I'm passionate about building AI systems that are useful, trustworthy, and solve real-world problems. My interests span Machine Learning, Large Language Models (LLMs), NLP, Explainable AI (XAI), and full-stack AI applications.
- π€ Large Language Models (LLMs)
- π§ Machine Learning & Deep Learning
- π Explainable AI (XAI)
- π° AI-powered misinformation detection
- π Data visualization & analytics
- π Full-stack AI applications
- Python
- Java
- C++
- JavaScript
- SQL
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers
- LangChain
- NLTK
- Pandas
- NumPy
- Plotly
- Matplotlib
- Streamlit
- Dash
- React
- HTML
- CSS
- JavaScript
- Flask
- PostgreSQL
- MySQL
- Git
- GitHub
- Docker
- VS Code
- Jupyter Notebook
- Linux
πΉ Fake News Detection using Deep Learning & LLM Verification
- Ensemble CNN + LSTM + BiLSTM architecture
- LLM-assisted credibility verification
- Streamlit web application
πΉ Football Defensive Performance Dashboard
- Interactive analytics dashboard built with Plotly Dash
- League filtering, player comparisons, and advanced visualizations
πΉ Stock Market Prediction
- Machine Learning & LSTM-based forecasting
- Time-series analysis and visualization
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- AI Evaluation
- Responsible AI
- MLOps
- AI/ML Projects
- Open Source
- LLM Applications
- Research Projects
- Python Development
- LinkedIn: kavish.rajpopat
- Email: rkpopat00@gmail.com
β Always learning, always building.

