Sabri 'Elras' Bolkar
Linkedin | Twitter | Mastodon | GithubEmail: sabribolkar (at) gmail (dot) com
I am a machine learning / AI applied scientist, engineer, and basketball player. I am interested in the complete lifecycle of learning-based systems from research to development, deployment, scaling, and improvement. I have worked with the full spectrum of data (tabular, graph, language, image, video, and 3d), and have developed various discriminative and generative models from LLMs to diffusion operating on such data.
I studied computer vision at
NTNU
and completed my MSc thesis on unsupervised image segmentation at
KU Leuven.
Then, I had a PhD adventure at
TU Delft, where I worked on fast registration algorithms for incomplete point cloud data.
Previously, I led the research and development of deep networks for automated image editing and the architecture of the ML cloud infrastructure at one of the leading visual content companies, Bright River. You have definitely seen my models in action on your favorite e-commerce website. Later, I worked on massive ML systems for measurements, analytics, and ad fraud at Bol, the largest online shop in the Benelux.
I also sometimes write about ML & AI at InfoQ, you can check out my articles here.
Updates
May 26 - Joined to Maersk drive AI and LLM modernization initiatives across their extensive global terminal network.
June 24 - Moved to Bol to build the next generation of the shop measurement & insight platform.
July 23 - My EU AI Act summary reached 2nd in Hacker News, triggered interesting comments as well.
March 23 - Check Pos3D, our realistic on-model imagery service.
June 22 - We scaled our high resolution image editing ML API usage to millions per month.
July 21 - Our new ML image editing SaaS ModifAI is live!
February 21 - The project that I am leading the R&D efforts got NVIDIA Inception Grant and several cloud grants.
March 20 - Check my team's deep learning solutions as we bring automation to image editing.
April 19 - Lured to the industry from my PhD researcher position. I will be initializing the CV/ML group at B/R.
November 18 - My work on microscopy point cloud registration resulted in state-of-the-art speed with high quality!
July 18 - Defended my thesis succesfully! I will be starting a PhD positon at the TU Delft Quantitative Imaging Group.
September 16 - Started my MSc education, my specializations will be imaging, processing and machine learning.
May 15 - Received the best poster award for my brain-computer interface design at the DTU.
June 14 - Interned at Technical University of Denmark, I worked on brain-computer interfaces and EEG data analysis.
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