Dali M.
Computer Vision Research Engineer @Schwarz Digits
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WORK HISTORY
Computer Vision Research Engineer @Schwarz Digits
Munich, DE
Retail Shelf Intelligence (Shelf Segmentation & Out-of-Stock Detection) • Developed computer vision solutions for shelf segmentation and shelf-slot detection to identify product availability and out-of-stock items • Implemented price rail and price tag detection pipelines to accurately infer product boundaries and shelf structure • Applied dynamic programming–based optimization to robustly separate adjacent products under varying store layouts • Enabled real-time shelf state understanding to support inventory monitoring and retail analytics • Deployed and maintained inference services as part of a scalable production infrastructure AI for Football Talent Identification & Performance Analysis (CUJU App) • Built computer vision systems for player segmentation, detection, and keypoint estimation to assess athlete performance • Implemented object tracking pipelines for players, equipment, and ball movement over time • Improved video stabilization scores by ~20% using classical computer vision algorithms. • Developed data analysis and visualization dashboards to support coaches and scouts in decision-making • Deployed inference services on AWS using Ray, enabling elastic scale-up / scale-down based on traffic • Worked closely with engineers, data scientists, and domain experts in a cross-disciplinary environment for constant improvement of the exercises. Infrastructure, Deployment & Scalability • Deeply involved in infrastructure design, deployment, and CI/CD pipelines for computer vision services • Extensive hands-on experience with Ray (distributed execution & serving) to build robust, scalable inference systems • Designed systems capable of handling variable traffic loads, improving reliability and cost efficiency in production • Focused on operational excellence: monitoring, fault tolerance, and real-world robustness
EDUCATION
Technical University of Munich
Master , Robotics and automation
Technical University of Munich
Master Thesis Student, Künstliche Intelligenz
Technical University of Munich
Bachelor of Applied Science - BASc, Elektrotechnik, Eletronik und Kommunikationstechnik
Alma Mater Studiorum – Università di Bologna
Erasmus Semester Exchange, Artificial intelligence
Delft University of Technology
Master's degree Erasmus Semester, Mechatronik, Robotik und Automatisierungstechnik
ABOUT DALI M.
From a young age, I loved taking things apart to see how they worked. I\'d break RC cars, calculators, TV remotes, and dental chairs just to learn.This curiosity hasn\'t stopped. I\'m always working on new projects, even if they don\'t always work out. I\'ve tried many things on GitHub and I explored the field of deep learning before this whole new AI boom era. When I find a new tool or framework, I dive into its source code.After my electrical engineering degree, I studied Artificial Intelligence and robotics at 3 different world renowned universities because I\'m fascinated by deep learning and its applications. I\'ve worked on projects in computer vision, reinforcement learning and robotics at the biggest companies in Europe.Until now, my curiosity still drives me. There\'s always something new to learn and build, and I\'m grateful for that.Skills: Machine learning, Computer Vision, Data Analytics, Web Development.
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