Hi, I’m Jeronim Matijević, a machine learning engineer based in Split, Croatia, with around five years of experience building ML, research, and software solutions. I have a strong affinity for computer vision, but I’m passionate about neural networks for a wide range of problems and applications, from perception to optimization. I enjoy turning ideas into robust, production-ready systems and thrive when collaborating across ML research, data, and engineering to deliver scalable solutions. I’ve shipped end-to-end ML/AI projects on cloud platforms, with a focus on deployment, scalability, and maintainability. My strengths include fast prototyping, designing practical evaluation metrics, and translating complex research into reliable production pipelines using modern MLOps practices (AWS, Kubernetes, Docker, CI/CD). I’m always eager to learn, share knowledge, and tackle new challenges across domains.

Jeronim Matijević

Hi, I’m Jeronim Matijević, a machine learning engineer based in Split, Croatia, with around five years of experience building ML, research, and software solutions. I have a strong affinity for computer vision, but I’m passionate about neural networks for a wide range of problems and applications, from perception to optimization. I enjoy turning ideas into robust, production-ready systems and thrive when collaborating across ML research, data, and engineering to deliver scalable solutions. I’ve shipped end-to-end ML/AI projects on cloud platforms, with a focus on deployment, scalability, and maintainability. My strengths include fast prototyping, designing practical evaluation metrics, and translating complex research into reliable production pipelines using modern MLOps practices (AWS, Kubernetes, Docker, CI/CD). I’m always eager to learn, share knowledge, and tackle new challenges across domains.

Available to hire

Hi, I’m Jeronim Matijević, a machine learning engineer based in Split, Croatia, with around five years of experience building ML, research, and software solutions. I have a strong affinity for computer vision, but I’m passionate about neural networks for a wide range of problems and applications, from perception to optimization. I enjoy turning ideas into robust, production-ready systems and thrive when collaborating across ML research, data, and engineering to deliver scalable solutions.

I’ve shipped end-to-end ML/AI projects on cloud platforms, with a focus on deployment, scalability, and maintainability. My strengths include fast prototyping, designing practical evaluation metrics, and translating complex research into reliable production pipelines using modern MLOps practices (AWS, Kubernetes, Docker, CI/CD). I’m always eager to learn, share knowledge, and tackle new challenges across domains.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent
Croatian
Fluent

Work Experience

Machine Learning Engineer at Intis
September 1, 2024 - Present
Developed a user ID verification service using a hybrid of visual-language models and traditional CNNs; implemented a planogram optimisation service leveraging hierarchical Bayesian modeling and genetic algorithms. Deployed both services and their dependencies on the company’s AWS Kubernetes cluster, ensuring scalable, reliable, and well-behaved production systems.
Research Engineer (Computer vision) at TensorPix
May 1, 2023 - August 31, 2024
Trained and deployed efficient GAN-based video restoration and super-resolution models. Every model shipped outperformed its predecessor in both speed and quality, delivering practical improvements in real-time video processing pipelines.
Young Researcher (Computer vision) at University of Zagreb, FER
April 1, 2022 - April 30, 2023
Developed computer vision solutions for inventory management in retail environments. Studied state-of-the-art depth estimation, neural radiance fields, and oriented bounding box detection; introduced a novel evaluation metric that significantly reduced the memory footprint of the network.
Computer Vision Engineer at AI Technologies, d.o.o.
April 1, 2021 - September 30, 2021
Proof-of-concept project focused on detecting broken insulators on powerlines from drone data. Implemented the NAS-to-inference-to-report pipeline and trained the networks used in production.

Education

MSc in Computer Science at Faculty of Electrical Engineering and Computing, Zagreb, Croatia
September 1, 2018 - March 18, 2026
BSc in Computer Science at Faculty of Electrical Engineering and Computing, Zagreb, Croatia
January 1, 2015 - December 31, 2018
High School at Science and Mathematics High School, Split, Croatia
January 1, 2011 - December 31, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Media & Entertainment, Retail