NYU Learning Systems Lab — Graduate Research Assistant
New York, USA · Sept. 2021 – May 2026 (Expected)
Supervised by Prof. Anna Choromanska
- Research on efficiency and generalization in deep learning, with a focus on communication-efficient distributed training.
- Work on end-to-end autonomous driving and data selection/sampling methods.
NVIDIA — AV Research Intern
New Jersey, USA · June 2025 – Nov. 2025
- Developed a scaling-aware data selection pipeline for end-to-end autonomous driving.
- Designed a three-stage framework combining clustering, scaling-law estimation, and iterative data mining to maximize performance gains under a fixed data budget.
NVIDIA — AV Research Intern
New Jersey, USA · May 2024 – Aug. 2024
- Studied data and model scaling laws for end-to-end autonomous driving systems.
- Analyzed performance trends in both open-loop and closed-loop evaluation settings.
Siemens Healthineers — NLP Research Intern
New Jersey, USA · May 2023 – Aug. 2023
- Benchmarked decoder-only large language models for radiology tasks.
- Evaluated zero-shot and parameter-efficient fine-tuning methods to assess domain adaptation performance.
DataBoss Analytics & Security — Machine Learning Engineer (Part-time)
Ankara, Türkiye · Feb. 2021 – June 2021
- Developed forecasting algorithms for national electricity consumption using machine learning and statistical models.
University of Cambridge — Summer Research Intern
Cambridge, UK · July 2020 – Sept. 2020
Supervised by Prof. Hatice Gunes
- Studied continual learning methods for facial expression recognition.
- Benchmarked regularization- and replay-based approaches on standard FER datasets.
TÜBİTAK İLTAREN — Engineering Intern
Ankara, Türkiye · June 2019 – July 2019
- Implemented motion detection and puzzle-solving algorithms in MATLAB.
- Built hand-coded implementations of forward and backpropagation for neural networks.