cv

PhD

• Data-efficient Neural Appearance Manipulations

MSc

• Signal Processing and Communations

BSc

• Electrical and Electronics Engineering

Machine Learning Researcher

• Contributing to research and development of ML models for image/video processing and enhancement.
• Bridging model development and product deployment, collaborating with cross-functional teams.
• Exploring novel approaches at the intersection of vision, graphics, and learning.

Applied Scientist Intern

• Developed a GAN-based image-to-image translation model with a local histogram loss for improved skin tone fidelity.
• Created custom face segmentation masks to guide learning and reduce artifacts.
• Delivered experimental results and final presentation to the applied science team.

Research Assistant

• Led the Cambridge side of a joint vision-based blackgrass detection project with the University of Lincoln.
• Trained a ResNet classifier on a novel agricultural dataset, achieving 80% accuracy — the final milestone of a startup-oriented initiative.
• Co-authored a resulting publication; contributed to model design, evaluation, and early commercialization exploration.

Software Developer

• Developed an Android app prototype using the Kivy framework in Python for a tech startup.
• Built custom UI widgets and implemented image-based features using hash coding techniques.
• Managed codebase with Git and collaborated remotely with product stakeholders.

• Graduate Student Travel Award, Queens’ College

• Computer Laboratory Studentship, full funding for my PhD research

• Dean’s High Honor Certificate, Bogazici University

• Merit-based scholarship awarded for outstanding national exam performance. Ranked 185th among 2M+ students.

Oral Presentation, CVMP (ACM SIGGRAPH Europe)

• “One-shot Detail Retouching with Patch Space Neural Transformation Blending”

Poster, ECCV

• “Hypernetworks for Generalizable BRDF Representation”

Poster, ICCP

• “Patch-adaptive Transformation Blending for One-Shot Photo Retouching”