Lausanne, Vaud, Switzerland
Passionate and results-oriented Machine Learning Engineer with a focus on Computer Vision. Currently advancing the field of computer vision at DataBoss Security & Analytics, where I lead the development of a distributed deployment platform and MLOps infrastructure, translating cutting-edge research into practical applications. In addition, I am pursuing an MS in Computer Engineering at Middle East Technical University, where I am researching advanced computer vision techniques with a focus on Domain Adaptation, Generative models, and Zero/One/Few shot learning. I've also had the honor to organize a challenge, Vision-based InduStrial InspectiON, at CVPR23. I am an effective leader and collaborative team player who is always eager to take on new challenges. My goal is to leverage AI and machine learning to create technologies that solve real-world problems, optimize processes, and deliver value.
• Led the company's initiatives to integrate AI technologies into product offerings. • Designed and implemented comprehensive AI solutions, focusing on generative AI technologies. • Architected systems utilizing multimodal LLMs and diffusion models to enhance product features. • Developed agent-based AI solutions tailored for diverse use cases.
• Led the Computer Vision initiatives for EPAM Systems in Turkey, driving innovation in AI technologies. • Collaborated with Zalando to develop production-grade diffusion-based generative AI pipelines.
Research on Computer Vision. Mainly working on: • Video Object Detection • Image Enhancement • Super resolution - Dehazing Also working on: • Deployment options (mainly TensorRT) • Distributed inference mechanism • MLOps infrastructures like MLFlow, DVC, ClearML etc.
Co-organizer of Vision-based InduStrial InspectiON challenge which held as a workshop @ CVPR '23