📚 Academic Service

• Conference reviewer: CVPR 2024–2026, ECCV 2026, SIGGRAPH 2026, SIGGRAPH Asia 2025.

💼 Experience

• 2025.12 – 2026.03 Research Collaborator (Remote) — Snap Research, Snap Inc. Identity-aware visual representations: problem discovery, dataset & benchmark pipeline, model training.
• 2025.09 – 2025.12 Teaching Assistant, CS294Y Neural Network Design and Training — KAUST (Instructor: Prof. Peter Wonka)
• 2024.09 – 2024.12 Teaching Assistant, CS323 Deep Learning for Visual Computing — KAUST (Instructor: Prof. Peter Wonka)
• 2021.03 – 2021.10 Computer Vision Research Intern — KAUST
• 2020.03 – 2021.02 Teaching Assistant — Univ. of Novi Sad (Algorithms & DS, XML/Web Services, etc.)

🛠 Technical Skills

Programming: Python, C++, Java, C
ML Libraries: PyTorch (DDP), HuggingFace (Diffusers/Transformers/Accelerate/PEFT), Weights & Biases, NumPy, OpenCV
Models: Vision Transformers, Diffusion Models, GANs, VAEs, CLIP, Vision-Language Models
Efficiency: FP16/Mixed-Precision Training, LoRA/PEFT, DeepSpeed, Model Parallelism, Multi-GPU Distributed Training
Infrastructure: Git, Linux, Slurm (HPC), CUDA, Large-scale data curation