Writing production-grade code with type hints, testing, and performance profiling; strong in data, ML, and automation tooling.

End-to-end ML: data prep, feature engineering, model training/tuning, evaluation, and deployment with real-world constraints.

Designing CNN/RNN/Transformer-based models; experience with transfer learning, fine-tuning, and experiment tracking.

Object detection, image classification, OCR, and medical imaging; practical experience with YOLO and real-time pipelines.

Building responsive web apps and APIs; comfortable with modern frontends and backend best practices and database design.

Statistical analysis, visualization, experiment design, and communicating insights clearly to stakeholders.