Evalds Urtans
CEO at Eldigen
Riga, Vidzeme, Latvia
Summary
👤
Senior🎓
Top SchoolEvalds Urtans is a serial entrepreneur and AI scientist with 13 years of experience building product-led startups and leading engineering teams across SaaS, contact center automation, and pharmaceutical AI. He currently runs multiple companies—Eldigen, Pitch Patterns, and asya.ai—delivering hyperautomation and omni-channel communication platforms that demonstrably cut workloads and boost conversion rates. With a PhD specialization in Artificial Intelligence and an MSc in intelligent robotic systems, he blends deep research credentials with hands-on ML engineering (notably contributing curriculum learning and game-fix improvements to the PyGame Learning Environment). Early roots in games and large-scale information systems inform his pragmatic approach to productizing advanced AI, and he maintains an active project showcase at yellowrobot.xyz.
13 years of coding experience
12 years of employment as a software developer
PhD., Artificial Intelligence, PhD., Artificial Intelligence at Rīgas Tehniskā universitāte (Riga Technical University)Big Data, Data Science, Big Data, Data Science at EIT Digital AlumniBSc Hons, Games Development, Games programming, BSc Hons, Games Development, Games programming at University of South WalesAgenskalna Valsts Gimnazija
English, Latvian, Russian
Stackoverflow
6,576reputation
4.4mreached
80answers
0questions
dll
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argparse
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boolean
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python
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command-line-arguments
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json
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Github Skills (27)
python10
gameplay10
machine-learning10
reinforcement-learning10
videogames10
pygame10
deep-reinforcement-learning10
dll9
debug9
artificial-intelligence9
command-line-arguments9
json9
datetime9
boolean9
raycast9
Programming languages (13)
Github contributions (5)
ntasfi/PyGame-Learning-Environment
Mar 2017 - Jul 2017
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Role in this project:
ML Engineer
ML EngineerContributions:19 commits, 9 PRs, 7 comments in 3 months
Contributions summary:Evalds primarily contributed to bug fixes and improvements within the PyGame Learning Environment, focusing on the games implemented within the environment. Their work included addressing issues in the Flappy Bird and Pong games, resolving bugs related to collision detection and game mechanics. Furthermore, the user added a curriculum learning feature to the RaycastMaze environment, enabling the modification of game parameters to assist model training.
pythongameagentpygamereinforcement-learning
evaldsurtans/maintainscroll.jquery.js
Oct 2013 - Apr 2018
Contributions:5 commits, 1 PR, 1 push in 4 years 7 months
positionkeepscrollrefreshscroll-position
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