Nusret Ozates is a machine learning engineer with eight years of software experience and two years focused on NLP, currently building production ML systems at TRT from Istanbul. He has designed chatbots, keyword extraction, classification and language modeling pipelines, and built an AutoNLP platform (GlosaNLP) to train, tune and deploy Hugging Face models via Django and RabbitMQ. Nusret combines model research with pragmatic MLOps—optimizing inference with pruning, quantization and ONNX, and implementing continuous training, experiment tracking and versioning on Google Cloud. He has led multidisciplinary teams of ML, front-end and back-end engineers and integrated ML services into products like MS Teams and high-traffic search apps. Before NLP he shipped back-end, front-end and mobile apps, giving him a full-stack view that helps move models from prototype to scalable production. A detail that often goes unnoticed: he improved a chatbot’s accuracy from 78% to 97% while increasing confidence and speeding inference by 30%, showing a rare mix of modeling skill and production optimization.
8 years of coding experience
3 years of employment as a software developer
Maltepe Askeri Lisesi
Lisans Derecesi, Computer Engineering, Lisans Derecesi, Computer Engineering at Turkish-German University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Koç University
Contributions:7 pushes, 1 branch in 3 years 4 months
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