Summary
Kamil Dilbaz is a Data Science R&D Team Lead based in Istanbul with eight years of hands-on experience building machine and deep learning systems that turn legacy processes into automated, production-ready workflows. He excels at bridging research and engineering—deploying NLP and LLM-based solutions, computer vision and signal-processing models, and practical recommender and forecasting systems that delivered measurable RMSE and sales improvements. His background spans enterprise projects from COBOL-to-Java code translation using LLMs to automated exam grading and speech-lip synchronization, showing a knack for applying advanced models to domain-specific problems. Comfortable across the ML stack (Python, Scikit-Learn, TensorFlow/PyTorch, Spark, SQL, Azure) and visualization tools, he combines technical depth with product-focused impact. A military systems-engineering and management foundation underpins his leadership and process orientation, enabling him to scale teams and workflows effectively. He is driven by turning research initiatives into tangible business outcomes and continuously exploring new AI-driven efficiencies.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Systems Engineering, Bachelor's degree, Systems Engineering at Land Forces Military Academy
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of the West of England
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Ahmet Yesevi University
Master's degree, Management and Organisation, Master's degree, Management and Organisation at Beykent University
English