Building production ML systems at scale — from feature stores to inference pipelines
- 🛫 Data Scientist/ML Engineer at ISA(Air Arabia Group)
- 🤖 Designing and shipping data products
- 📝 Researcher published author · Google Summer of Code alumnus (2021 student → 2022/23 mentor)
- ✍️ Writing about ML systems, MLOps, and AI on Kaggle and Medium
Core ML
MLOps & Infrastructure
Data & Cloud
Dev Tools
- 🚀 Production ML Pipelines — cascaded seat propensity models with ONNX export, zone-level classification, and config-driven YAML model registry
- 🧠 Research — multimodal foundational models, edge AI, evolving paradigms in time series modelling
- ✏️ Teaching — CCS3308 Virtualization & Containers; bridging container orchestration theory with MLOps production patterns
"Production-readiness over accuracy. Systems that ship, scale, and survive."

