Julian Wergieluk - CEO & ML Engineer

Q: What languages does Julian speak?

Julian speaks the following languages: Polish (Native), German (Advanced), English (Advanced), Japanese (Elementary) .

Q: How many years of experience does Julian have?

Julian has at least 18 years of experience. During this time, Julian has worked in at least 4 different roles and for 6 different companies . The average length of individual experience is 3 years and 1 month . Note that Julian may not have shared all experience and actually has more experience.

Q: What is Julian's latest experience?

Julian's most recent position is CEO & ML Engineer at LOLML GmbH .

Q: What companies has Julian worked for in recent years?

In recent years, Julian has worked for LOLML GmbH and DataRobot .

Q: Which industries is Julian most experienced in?

Julian is most experienced in industries like Banking and Finance , Education , and Energy . Julian also has some experience in Information Technology , Manufacturing , and Pharmaceutical .

Q: Which business areas is Julian most experienced in?

Julian is most experienced in business areas like Research and Development , Finance , and Investments and M&A . Julian also has some experience in Information Technology , Operations , and Product Development .

Q: Which industries has Julian worked in recently?

Julian has recently worked in industries like Banking and Finance , Information Technology , and Manufacturing .

Q: Which business areas has Julian worked in recently?

Julian has recently worked in business areas like Information Technology , Finance , and Operations .

Q: What is Julian's education?

Julian holds a Master in Mathematics from Vienna University of Technology .

Recommended expert

Germany

Check rate

Experience

Jan 2023 - Present

3 years 4 months

Germany

CEO & ML Engineer

LOLML GmbH

Consulting: Monte-Carlo scenario analysis of an exotic swaps portfolio (C++, bash, gnuplot)
Project selection: Industrial Process Optimization, EDI-Automation, LLM Explainability, Portfolio Optimization, Time-Series

Nov 2019 - Dec 2022

3 years 2 months

Germany

Hybrid

Machine Learning Engineer

DataRobot

Developed an internal VaR model for market risk
Teams:
Market scenario generator: hybrid Monte Carlo approach employing a 500-dimensional discretization of the Heath-Jarrow-Morton SPDE (C++ with STL, boost, blitz++, GSL)
Model Management and Monitoring (MLOps): online learning models for drift detection and feature distribution monitoring
Probabilistic credit market model: statistical analysis and calibration of a default probability term structure model for CDS spreads
ContagionNET: probabilistic individual infection risk model, working directly with the CEO
Covid Machine: vaccine trial optimization (Moderna), compartmental epidemic modeling
Trusted AI: implementation of a prediction intervals model for regression problems (conformal inference)

Sep 2015 - Oct 2019

4 years 2 months

Munich, Germany

Quantitative Analyst

Allianz Global Investors (risklab)

Designed, implemented, and managed a portfolio optimization framework consisting of:
A C# backend employing various LP and QP optimizers from the NAG library
Middleware exposing a WebAPI and utilizing RabbitMQ
An async C# VSTO Excel frontend
Automated risk reporting and data validation processes (Python, Jupyter, bash, Cygwin)
Tested and validated a derivatives pricing framework covering inflation-indexed swaps (MATLAB, Python, C#)

Apr 2015 - Dec 2018

3 years 9 months

Research Associate

University of Freiburg

Python ML stack: numpy, pandas, matplotlib, PyTorch, scikit-learn, scipy, streamlit
Models: Deep Learning, NLP, Large Language Models, Time-series, Computer Vision, Reinforcement Learning
Research topics: financial mathematics, statistics, stochastic analysis, energy markets
Linux: standard UNIX tools (bash, vim, git, etc.); Arch Linux + i3
Teaching: mathematics for engineers, mathematical statistics, and stochastic analysis (8 courses)
Others: PyCharm, LaTeX
Published a problem book in probability and statistics

Feb 2011 - Mar 2015

4 years 2 months

Research Associate

Chemnitz University of Technology

Python ML stack: numpy, pandas, matplotlib, PyTorch, scikit-learn, scipy, streamlit
Models: Deep Learning, NLP, Large Language Models, Time-series, Computer Vision, Reinforcement Learning
Research topics: financial mathematics, statistics, stochastic analysis, energy markets
Linux: standard UNIX tools (bash, vim, git, etc.); Arch Linux + i3
Teaching: mathematics for engineers, mathematical statistics, and stochastic analysis (8 courses)
Others: PyCharm, LaTeX
Published a problem book in probability and statistics

Jan 2008 - Jan 2011

3 years 1 month

Vienna, Austria

Quantitative Analyst

Raiffeisen Bank International AG

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Banking and Finance, Education, Information Technology, Manufacturing, Energy, and Pharmaceutical.

Banking and Finance

Education

Information Technology

Manufacturing

Energy

Pharmaceutical

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Research and Development, Finance, Investments and M&A, Information Technology, Operations, and Product Development.

Research and Development

Finance

Investments and M&A

Information Technology

Operations

Product Development

Summary

A versatile engineer with in-depth mathematics, machine learning, and software development skills.

Skills

Python Ml Stack: Numpy, Pandas, Matplotlib, Pytorch, Scikit-learn, Scipy, Streamlit
Models: Deep Learning, Nlp, Large Language Models, Time-series, Computer Vision, Reinforcement Learning
Linux: Standard Unix Tools (Bash, Vim, Git, Etc.); Arch Linux+i3
Others: Pycharm, Latex

Languages

Polish

Native

German

Advanced

English

Advanced

Japanese

Elementary

Education

Vienna University of Technology

Dipl.-Ing. degree in mathematics, focus on abstract algebra (group theory, homology theory), topology, symbolic computation and · Mathematics · Vienna, Austria

Certifications & licenses

Deep Reinforcement Learning, a Nanodegree

risklab (Allianz Global Investors)

Deep Learning, a 5-course Specialization

deeplearning.ai on Coursera

Statistics

Experience

Total positions 6

Experience in Banking and Finance 14 y

Avg length 3 y 6 m

Longest experience 4 y 1 m

Global Experience

Countries worked in 2 (Germany, Austria)

Primary country Germany

Expertise

Recent roles CEO & ML Engineer, Machine Learning Engineer, Quantitative Analyst

Main industries Banking and Finance, Education, Information Technology

Main business areas Research and Development, Finance, Investments and M&A

Qualifications

Highest degree Master

Certifications earned 2

Profile

Created

May 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

What languages does Julian speak?

Julian speaks the following languages: Polish (Native), German (Advanced), English (Advanced), Japanese (Elementary).

How many years of experience does Julian have?

Julian has at least 18 years of experience. During this time, Julian has worked in at least 4 different roles and for 6 different companies. The average length of individual experience is 3 years and 1 month. Note that Julian may not have shared all experience and actually has more experience.

What roles would Julian be best suited for?

Based on recent experience, Julian would be well-suited for roles such as: CEO & ML Engineer, Machine Learning Engineer, Quantitative Analyst.

What is Julian's latest experience?

Julian's most recent position is CEO & ML Engineer at LOLML GmbH.

What companies has Julian worked for in recent years?

In recent years, Julian has worked for LOLML GmbH and DataRobot.

Which industries is Julian most experienced in?

Julian is most experienced in industries like Banking and Finance, Education, and Energy. Julian also has some experience in Information Technology, Manufacturing, and Pharmaceutical.

Which business areas is Julian most experienced in?

Julian is most experienced in business areas like Research and Development, Finance, and Investments and M&A. Julian also has some experience in Information Technology, Operations, and Product Development.

Which industries has Julian worked in recently?

Julian has recently worked in industries like Banking and Finance, Information Technology, and Manufacturing.

Which business areas has Julian worked in recently?

Julian has recently worked in business areas like Information Technology, Finance, and Operations.

What is Julian's education?

Julian holds a Master in Mathematics from Vienna University of Technology.

Does Julian have any certificates?

Julian has 2 certificates. These include: Deep Reinforcement Learning, a Nanodegree, Deep Learning and a 5-course Specialization.

What is the availability of Julian?

The availability of Julian needs to be confirmed.

What is the rate of Julian?

Julian's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.