Summary
Furkan Bağcı is a Senior Machine Learning Engineer with eight years of experience and over six years focused on deep learning, computer vision and MLOps, currently implementing scalable model training, inference and monitoring pipelines on AWS SageMaker at EPAM. He has led applied remote sensing projects at Huawei that produced 3D landcover maps and supported wireless infrastructure planning across 400+ cities, optimizing rotated object detection and custom instance segmentation models for production deployment. Comfortable spanning research and production, he has built edge-to-cloud solutions—deploying models with ONNX, automating infrastructure with AWS CDK/CloudFormation, and driving batch inference and monitoring best practices. With an MS in Electrical & Electronics Engineering and a brief PhD pursuit, he combines strong academic foundations with pragmatic delivery, often improving boundary accuracy and real-world utility in geospatial ML systems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Dropped out, Doctor of Philosophy - PhD, Computer Engineering, Dropped out at Hacettepe Üniversitesi
Ankara Bahçelievler Anadolu Lisesi
Undergraduate Degree, Electrical and Electronics Engineering, 3.38, Undergraduate Degree, Electrical and Electronics Engineering, 3.38 at Turgut Özal Üniversitesi
Master of Science - MS, Electrical and Electronics Engineering, 3.15, Master of Science - MS, Electrical and Electronics Engineering, 3.15 at Ankara Yıldırım Beyazıt Üniversitesi
English