ML Engineer/Data Scientist with PhD expertise in complex learning systems and predictive modeling. Proven track record developing end-to-end ML solutions, optimizing data pipelines, and extracting actionable insights from large datasets. Strong foundations in experimental design, statistical modeling, and feature engineering applicable across industries.
Seeking roles in ML engineering, data science, or technical research where I can leverage my expertise in predictive modeling, optimization, and scalable data solutions.
Remote: Yes
Willing to relocate: Prefer to relocate to California
Technologies: Python, PyTorch, JAX, PyData stack (Numpy, Pandas, Scipy, Scikit-Learn), Data Visualization (Matplotlib and Seaborn), Reinforcement Learning, Machine Learning (Classification, Clustering, Dimensionality Reduction), Neural Networks (RNNs, Transformers), SQL, R, JavaScript, Git, Docker/Singularity, High-Performance Computing
Resume/CV: https://karagoz.me/cv.pdf
Email: atabkaragoz@gmail.com
ML Engineer/Data Scientist with PhD expertise in complex learning systems and predictive modeling. Proven track record developing end-to-end ML solutions, optimizing data pipelines, and extracting actionable insights from large datasets. Strong foundations in experimental design, statistical modeling, and feature engineering applicable across industries.
Seeking roles in ML engineering, data science, or technical research where I can leverage my expertise in predictive modeling, optimization, and scalable data solutions.