π Computer Science graduate specialized in Artificial Intelligence & Machine Learning
π‘ Passionate about solving real-world problems using Data Science, ML, NLP, and Generative AI
π Actively working on LLM-powered apps, predictive analytics, and end-to-end ML workflows
- Languages & Libraries: Python, SQL, Pandas, NumPy, Scikit-learn, NLTK, SpaCy, Hugging Face Transformers
- Machine Learning: Logistic Regression, Random Forest, XGBoost, SVM, KNN, Feature Engineering, SHAP/LIME
- AI & Generative AI: LLMs, Prompt Engineering, RAG (FAISS), Streamlit, Docker, Hugging Face Spaces
- Visualization & BI: Matplotlib, Seaborn, Tableau, Power BI
- Other Tools: Git, GitHub, VS Code, Jupyter, Anaconda | Exploring MLflow, PyTorch, TensorFlow, and Cloud (AWS/GCP)
πΉ CKD Prediction Web App β Machine learning app for early kidney disease detection (F1-score: 93.7%)
πΉ AI Research Paper Analyzer (AIRPA) β RAG chatbot for PDF summarization & Q&A, deployed on Hugging Face
πΉ Resume Shortlisting System β NLP + ML pipeline for candidate screening, 85% accuracy
More projects on my repositories! π
π LinkedIn
π GitHub
π§ Email: abdullahshaik532@yahoo.com
βοΈ βAlways learning, always building β from data to deployment.β