Julius Pelkwijk
Maasland, South Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolJulius Pelkwijk is an AI Systems Architect and seasoned engineer with 14 years of experience designing persistent AI infrastructure and ensuring runtime continuity. Based in the Randstad, Netherlands, he combines academic grounding in electronics and industrial science with hands-on roles across research labs, universities, and consultancy to bridge complex systems and practical deployments. His open-source contributions span ML model integration and algorithmic trading tools—adding novel strategies and fixing core engine issues—demonstrating both model-management and backend reliability skills. Known for pragmatic problem-solving, he has moved from Windows- and network-focused consulting to leading AI runtime work, bringing an uncommon blend of industrial controls thinking to modern ML infrastructure.
14 years of coding experience
15 years of employment as a software developer
bachelor, Electronics-ICT, bachelor, Electronics-ICT at Hogeschool AntwerpenMaster, Industrial Science, Master, Industrial Science at Katholieke Hogeschool KempenSO Zenit Turnhout
Dutch, English, French, German
Github Skills (18)
microstrategy10
continuous-deployment10
javascript10
system-configuration10
python10
trading10
machine-learning10
ml-deployment10
mongodb-database10
custom-configuration10
nodejs10
configurations10
yml-configuration10
mongodb10
debug9
Programming languages (14)
Github contributions (5)
KoboldAI/KoboldAI-Client
Feb 2022 - May 2022
For GGUF support, see KoboldCPP: https://github.com/LostRuins/koboldcpp
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 1 PR, 1 comment in 2 months
Contributions summary:Julius focused on integrating and exposing various machine learning models within the KoboldAI client. They primarily added configurations for different "FSD" (likely Fast Stable Diffusion) and "Nerys" models, as well as other novel models, into the `aiserver.py` file, indicating a role in model management and deployment. Their contributions involved modifying the model selection menus, suggesting a focus on user-facing features related to model choice and availability. They also added models, specifically, models related to NSFW content.
DeviaVir/zenbot
Dec 2018 - Dec 2018
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 5 PRs, 16 comments in 3 days
Contributions summary:Julius primarily contributed to the codebase by addressing and fixing NaN issues in the engine, which is crucial for the bot's trading operations. They added new trading strategies, specifically the Renko and Pivot strategies, improving the bot's functionality. Furthermore, the user made adjustments to the Ichimoku score and fixed an error in GDAX exchange interaction, which suggests an ability to implement and maintain various aspects of the trading bot platform.
zenbotpythonbotstrategycryptocurrency-trading
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