Recommended expert
Julian Wergieluk-CEO & ML Engineer
Check rate
Experience
Jan 2023 - Present
3 years 5 monthsGermany
CEO & ML Engineer
LOLML GmbH
Position Summary
CEO & ML Engineer at LOLML GmbH
Industries
Banking and Finance
Information Technology
Manufacturing
Business Areas
Finance
Information Technology
Operations
- 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 monthsGermany
HybridMachine Learning Engineer
DataRobot
Position Summary
Machine Learning Engineer at DataRobot
Industries
Banking and Finance
Pharmaceutical
Business Areas
Information Technology
Product Development
Research and Development
- 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 monthsMunich, Germany
Quantitative Analyst
Allianz Global Investors (risklab)
Position Summary
Quantitative Analyst at Allianz Global Investors (risklab)
Industries
Banking and Finance
Business Areas
Finance
Investments and M&A
- 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 monthsResearch Associate
University of Freiburg
Position Summary
Research Associate at University of Freiburg
Industries
Education
Energy
Banking and Finance
Business Areas
Research and Development
- 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 monthsResearch Associate
Chemnitz University of Technology
Position Summary
Research Associate at Chemnitz University of Technology
Industries
Education
Business Areas
Research and Development
- 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 monthVienna, Austria
Quantitative Analyst
Raiffeisen Bank International AG
Position Summary
Quantitative Analyst at Raiffeisen Bank International AG
Industries
Banking and Finance
Business Areas
Finance
Investments and M&A
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
NativeGerman
AdvancedEnglish
AdvancedJapanese
ElementaryEducation
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 7 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
Last Update
Frequently asked questions
Have questions? Find more information here.
Julian speaks the following languages: Polish (Native), German (Advanced), English (Advanced), Japanese (Elementary).
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.
Based on recent experience, Julian would be well-suited for roles such as: CEO & ML Engineer, Machine Learning Engineer, Quantitative Analyst.
Julian's most recent position is CEO & ML Engineer at LOLML GmbH.
In recent years, Julian has worked for LOLML GmbH and DataRobot.
Julian is most experienced in industries like Banking and Finance, Education, and Energy. Julian also has some experience in Information Technology, Manufacturing, and Pharmaceutical.
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.
Julian has recently worked in industries like Banking and Finance, Information Technology, and Manufacturing.
Julian has recently worked in business areas like Information Technology, Finance, and Operations.
Julian holds a Master in Mathematics from Vienna University of Technology.
Julian has 2 certificates. These include: Deep Reinforcement Learning, a Nanodegree, Deep Learning and a 5-course Specialization.
The availability of Julian needs to be confirmed.
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.
To hire Julian, click the Meet button on the profile to request a meeting and discuss your project needs.
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