Summary
Filiz Camuz is a Senior Data Scientist and Machine Learning Engineer in Greater Houston with a decade-plus IT background and seven years focused on applied data science. She builds end-to-end ML pipelines, large-scale NLP systems, and Retrieval-Augmented Generation solutions, deploying production models on AWS and Azure and integrating FAISS, RoBERTa and Anthropic/OpenAI LLMs. Her domain experience spans oil & gas pipeline autonomy, global shipment ETA forecasting, and chatbot/NLP systems with NER/NEL, turning messy inputs into structured SQL-ready datasets. She pairs hands-on modeling and deployment skills (Python, SQL, Pydantic, Flask) with pragmatic optimization and data-quality engineering to deliver measurable business impact. Unusually, her profile blends classroom instructional-design expertise and IT management experience, which informs how she communicates complex models to stakeholders and designs reproducible training pipelines. Currently at Cognite, she focuses on scaling ML solutions that bridge analytics, search, and real-time decision making.
7 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Sakarya University
DATA Scientist Data Science Program, DATA Scientist Data Science Program at Flatiron School
Master of Science (M.S.) Learning Technologies - Instructional Design, Master of Science (M.S.) Learning Technologies - Instructional Design at University of North Texas
English, Turkish