Saeid
I am a PhD-trained Machine Learning and Computer Vision Engineer with more than ten years of experience developing AI methods for complex biomedical data. My work has covered medical imaging, physiological signals, statistical modeling, deep learning, model validation, and the development of reproducible computational pipelines across academic, clinical, and startup environments.
Kavian
With 5+ years of end-to-end ML experience and an MSc in Computer Vision & Data Science (NHL Stenden), I've shipped real-time inference systems, forecasting pipelines, and computer vision models used by 50,000+ users, cutting latency by up to 200ms along the way. My focus: deep learning, computer vision, and time-series forecasting. My stack: Python, PyTorch, MLflow, Docker, FastAPI, Flask, cover…