Aspiring AI/ML Engineer building production-ready AI systems. Passionate about experimenting with models, prompts and scalable workflows to improve decision-making and user experience.
Python
Scikit-learn, NLTK, Hugging Face, LangChain, Pinecone
Flask, Streamlit, Docker, HTML, CSS
Pandas, NumPy, Data Cleaning, Visualization
LangChain + Pinecone + Hugging Face. Built context-aware medical assistant deployed via Flask & Docker.
End-to-end AutoML system with hyperparameter tuning and interactive evaluation visualizations.
Ensemble model with SMOTE. Improved recall to 84% and reduced false negatives by 45%.