Darko Janeković

Software Engineer at DeepAR.ai

Croatia
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Engineering, Master's degree, Computer Engineering at FER
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Github Skills (8)

finite-element-analysis10
el10
f10
python10
testing10
c119
numerical-methods9
c179

Programming languages (8)

C++CTeXPHPLogosJupyter NotebookPythonGLSL

Github contributions (5)

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firedrakeproject/firedrake

Apr 2020 - Oct 2020

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
Role in this project:
userBack-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.
equationspartialfemmethodsimulation
djanekovic/tinygrad

Apr 2023 - Aug 2025

You like pytorch? You like micrograd? You love tinygrad! ❤️
Contributions:13 pushes, 1 branch in 2 years 4 months
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