Details
Skills
TECHNICAL SKILLS Languages: Python, MATLAB, C++ Frameworks & Tools: TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras, FastAI Deployment: ONNX, NVIDIA Jetson, Edge TPU, Patient Status Engine Data Platforms: ECG/HRV Signal Processing, Sleep & Arrhythmia Datasets, NHS systems (ICE, PACS, Lorenzo) Hardware: Avnet Zynq-7000, AD9361 SDR, Raspberry Pi, Isansys Patient Monitoring,Wearable Sensors and Mobile-Health
About
Results-driven Senior AI Engineer with over 8 years of experience in developing machine learning and deep learning models for biomedical applications, particularly in cardiovascular and neurological health. Expert in TensorFlow, PyTorch, and real-time AI deployment using edge computing, NLP, LLM, Computer Vision and Real-Time Communication frameworks. Proven success in collaborative research with leading institutions (e.g.,Sheffield-Teaching Hospital, Sheffield Hallam University, ,Isansys , Mayo Clinic, AI Nexus Healthcare) and experience integrating AI algorithms into commercial medical platforms.