Darko Janeković is a software engineer with 10 years of experience building performance-sensitive systems across robotics, embedded, GPU-accelerated signal processing, and AR SDKs. He has shipped robot brain components in C++17 and ROS that taught autonomous forklifts real-world workflows and now integrates deep learning models into a cross-platform AR rendering stack for mobile. Darko contributes to scientific open-source projects like Firedrake, improving FEM testing and low-level mesh utilities, demonstrating comfort with numerical code and careful API-level fixes. He pairs systems-level optimization (CUDA, multi-GPU strategies, uint64_t-aware refactors) with practical CI/CD and feature delivery, making complex pipelines production-ready. Based in Croatia with a master's in Computer Engineering from FER, he blends academic rigor with hands-on product engineering—rendering shoes on phones today after having taught 5-tonne forklifts to load trailers yesterday.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at FER
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
Role in this project:
Back-end Developer
Contributions:5 reviews, 30 commits, 2 PRs in 5 months
Contributions summary:Darko primarily focused on fixing and improving testing related to the finite element method library. Their commits addressed issues in the `test_cg_max_field` tests and improved the point evaluation API. The user made code changes to incorporate uint64_t and utilize preprocessor defines to optimize code, ensuring the project's stability. They modified and refactored code related to the mesh and pointquery utilities to maintain code quality.
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Contributions:13 pushes, 1 branch in 2 years 4 months
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