I am Betul, a 4th-year Computer Engineering student focused on data science and machine learning.
I like building systems that do more than just run models - systems that can solve real problems, automate workflows, and move toward production-ready impact.
Python • Kafka • Docker • XGBoost • TensorFlow
Production-grade real-time intrusion detection pipeline
- Processed 2.8M+ network flows on a Kafka streaming architecture
- Achieved 98.88% accuracy (0.999 ROC-AUC) across 5 ML/DL models
- Engineered ultra-low latency inference (0.008 ms) with 126K+ predictions/sec
- Integrated SHAP explainability and automated threat mitigation
- 📄 Paper submitted to IEEE SIU 2026
React • Next.js • FastAPI • PostgreSQL • MedGemma
Intelligent clinical learning system with adaptive AI feedback
- Built a full-stack AI platform for medical training and diagnostics
- Developed adaptive learning engine (IRT)
- Designed 200+ multimodal patient cases (images + clinical data)
- Integrated medical LLM with rule-based validation for reliability
React • Node.js • Express • MongoDB
Scalable analytics system for real-time business insights
- Developed a MERN-based analytics platform
