Vedran Stipetić-Machine Learning Engineer
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Experience
Founder
MaineFrame Labs
- ML lead, owning architecture, development, and deployment end-to-end.
- Developed end-to-end ML pipeline for water quality monitoring from multispectral satellite imagery, from data ingestion to deployed inference.
- Built naval vessel detection and classification system on multispectral satellite data, enabling automated maritime surveillance.
Senior Machine Learning Engineer
Tripadvisor
- Engineered and deployed a photo ranking service that selects primary images from a corpus of 300M+ images, optimizing for clickthrough rate across hotels, restaurants, and attractions.
- Developed an image quality pipeline including rotation correction and near-duplicate detection to ensure visual diversity across listings.
- Built image-text matching models for visual search and contributed to multimodal AI systems for image tagging.
R&D Engineer
Visage Technologies
- Built real-time vehicle detection and tracking models optimized for edge deployment.
- Implemented Active Learning pipeline using Monte Carlo dropout and normalizing flow density estimation, improving data selection efficiency and model uncertainty quantification.
- Led company-wide ML competence group, establishing training curriculum for 20+ engineers.
Researcher / Teaching Assistant
University of Zagreb
- Created state-of-the-art methods for single image dehazing and single image rain removal based on mathematical modeling and unsupervised learning.
- Focused on adapting non-smooth metrics for image degradation to be usable in deep learning, with special attention on reference-free metrics and adapting them for unsupervised learning.
- Authored one journal paper and four conference papers on various topics in the field of image restoration.
- Cooperated with an international team of researchers on a paper about high dynamic range image visualization.
- Taught Mathematical Analysis 1 and 2 at Faculty of Electrical Engineering and Computing.
- Taught Mathematics at Faculty of Pharmacy and Biochemistry.
Industry Experience
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Experienced in Information Technology, Education, Tourism, Aerospace and Defense, and Space Exploration.
Business Area Experience
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Experienced in Research and Development, Product Development, and Information Technology.
Summary
Independent Machine Learning Consultant (Maine- Frame Labs).
I build custom, large-scale production ML systems spanning multimodal AI, data-centric pipelines, and edge-deployed perception.
Experience includes building visual search and image quality systems at 300M+ image scale (Tripad- visor), alongside published research in image restoration.
Skills
- Languages: Python, C, C++, Matlab
- Technologies: Pytorch, Tensorflow, Pandas, Git, Aws
- Ai/Ml: Deep Learning, Computer Vision, Multi- Modal Ai, Llms, Generative Ai
Languages
Education
University of Zagreb
PhD in Computer Vision · Computer Vision · Zagreb, Croatia
Technical University of Denmark
MSc in Mathematical Modeling and Computation · Mathematical Modeling and Computation · Lyngby, Denmark
University of Zagreb
Bachelor of Mathematics · Mathematics · Zagreb, Croatia
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Experience
Global Experience
Expertise
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