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, covering the full lifecycle from raw data to deployed, monitored model. What sets me apart is the combination of research depth and production mindset. I care about model performance, but also about inference logging, data drift, and the reliability of what I ship. Currently based in the Netherlands and open to ML Engineer roles where I can build scalable systems and solve real business problems.