Summary
Ömer Yalçın is a Machine Learning Engineer based in Istanbul with eight years of hands-on experience building and productionizing computer vision, time-series, and audio anomaly detection systems. He combines deep learning expertise (PyTorch, YOLO, PointNet, TCNs) with strong MLOps and deployment skills (Docker, Kubernetes, Kubeflow, MLflow, OpenVINO, Terraform) to deliver real-time, edge-capable solutions and monitored ML pipelines. Ömer has shipped end-to-end products—from face recognition and anti-spoofing APIs to Turkish OCR and industrial visual inspection tools—often pairing FastAPI-backed services with CI/CD and observability via Prometheus/Grafana. His background spans healthcare sensor analytics, AWS-based IoT/streaming architectures, and embedded/GUI applications, reflecting a rare blend of cloud, edge, and embedded ML experience. Active on GitHub and Medium under omrylcn, he emphasizes reproducible MLOps workflows and pragmatic model serving in production.
8 years of coding experience
6 years of employment as a software developer
Master Computer Engineering, Master Computer Engineering at Okan University