Machine learning and Python developer. I build end-to-end ML pipelines, NLP models, and Python applications — from phishing detection systems with LLM + VirusTotal integration to fine-tuned sentiment models for Roman Urdu.
| Project | Description | Tech |
|---|---|---|
| Parkinson's Disease Detection | ML pipeline across 3 UCI datasets with cross-dataset generalization testing | scikit-learn, Python |
| Roman Urdu Sentiment Bot | Sentiment analysis chatbot for Roman Urdu YouTube comments | DistilBERT, Streamlit, PyTorch |
| Phishing Email Detector | Chrome extension that detects phishing emails using LLM analysis and real-time URL scanning | Flask, Groq, VirusTotal API, Chrome Extension |
| Library Management System | Terminal-based library system with OOP and JSON persistence | Python |
| Cafeteria Pay | Real-time payment queue simulation with producer-consumer threading, semaphores, and priority scheduling | Python |
| Python Mini Projects | ATM simulation, number guessing game, to-do list manager | Python |
Python, scikit-learn, PyTorch, HuggingFace Transformers, Streamlit, Flask, Groq API, pandas, numpy, threading
GitHub: @hifsaiftikhar LinkedIn: Hifsa Iftikhar