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Danko Komlen

Danko Komlen

Software Engineer, LLM/AI at Stealth startup, ex-Stripe, ex-Amazon

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Croatia
Joined June 2026
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Summary

Danko Komlen is an accomplished software engineer with significant experience in data engineering, machine learning, and distributed systems. His career spans major tech companies like Amazon and Stripe, where he has contributed to critical infrastructure and complex algorithmic challenges. Notably, he was part of the Tax Engineering team at Stripe, working on the Jurisdiction Resolution System (JRS) to accurately calculate sales taxes globally. stripe+1
He possesses a strong academic background with a Master's in Computer Science specializing in Evolutionary Computing from the University of Zagreb and further specialization through a Statistics and Data Science micromasters from MIT and a Machine Learning Engineer Nanodegree from Udacity. This educational foundation is complemented by practical application in projects and publications related to evolutionary computation and computer vision. rocketreach+2
Danko has recently transitioned to a Senior Software Engineer role focusing on LLM/AI at a stealth startup as of January 2024, indicating a pivot towards cutting-edge artificial intelligence and large language model development. His past experience also includes developing GUI engine simulation applications using Python and C++ at AVL. linkedin+1
An active member of the tech community, Danko shares his insights and work on platforms like GitHub and Twitter, discussing topics ranging from coding katas in Scala to reflections on technology trends and environmental awareness. github+2

Work

Education

Projects

Writing

How we built it: Jurisdiction resolution for Stripe Tax

July 10, 2025

A blog post co-authored by Danko Komlen detailing the development of Stripe's patent-pending Jurisdiction Resolution System (JRS) to accurately determine sales tax for online transactions across complex and varying global tax jurisdictions.

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ECF: A C＋＋ framework for evolutionary computation

January 1, 2024

An original software publication describing ECF, a versatile open-source C++ framework for evolutionary computation metaheuristics, highlighting its features, practical usage, and impact on various optimization problems.

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Multi-camera person tracking system

January 1, 2012

A publication co-authored by Danko Komlen presented at the 35th International Convention MIPRO 2012, focusing on systems for tracking people using multiple cameras.

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Detecting and tracking all moving objects in wide-area aerial video

A research paper co-authored by Danko Komlen focusing on computer vision techniques for detecting and tracking moving objects from wide-area aerial video footage.

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Hobbies

Engages in chess, sharing games and expressing enjoyment for the strategy involved. nitter

Shows an interest in climate action and environmental issues, sharing posts about planting trees and climate initiatives. nitter+1

Appreciates visual aesthetics in his work environment, evidenced by his enthusiasm for the Nord color theme. nitter