Julian Wergieluk
CEO & ML Engineer at LOLML
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJulian Wergieluk is a CEO and machine learning engineer with 14 years of experience bridging mathematical theory and production ML across finance, energy, and health domains. He has led high-stakes projects from COVID-19 epidemic modeling and vaccine trial optimization to portfolio optimization and stochastic risk simulation for asset management, often delivering production-ready systems under executive reporting lines. With a strong academic foundation in mathematics and research roles in stochastic analysis and energy markets, he blends rigorous probabilistic modeling with practical MLOps and online-learning deployments. Notably, he built prediction-interval and conformal-inference solutions at DataRobot and implemented LP-reformulations and exotic-constraint optimizers at Allianz Global Investors. Based in Munich, he now runs LOLML, applying his background in deep reinforcement learning and mathematical finance to commercial ML products.
13 years of coding experience
15 years of employment as a software developer
Master's Degree Mathematics, Master's Degree Mathematics at Vienna University of TechnologyDeep Reinforcement Learning Nanodegree Artificial Intelligence, Deep Reinforcement Learning Nanodegree Artificial Intelligence at Udacity
English, German, Polish, Japanese
Stackoverflow
135reputation
390reached
0answers
2questions
Github Skills (34)
conda10
forge10
bloomberg9
command-line-tool8
api8
sac8
conda-forge8
simulator7
ddpg7
dqn7
python7
deep-reinforcement-learning6
machine-learning6
time-series6
gnuplot6
Programming languages (1)
Github contributions (5)
jwergieluk/problem-pool
May 2012 - Mar 2015
Contributions:163 commits, 5 pushes in 2 years 9 months
jwergieluk/ou_noise
Mar 2019 - Oct 2021
Contributions:7 commits, 5 pushes, 1 branch in 2 years 8 months
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