Leonie Freisinger
Co-Founder & CTO at TUM.ai
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLeonie Freisinger is a Co-Founder and CTO in San Francisco who blends 8+ years of software and machine learning experience with an engineering background from Porsche and mechatronics training. She co-developed a deep-learning forecasting framework at Stanford with over 3 million downloads and has contributed plotting and visualization improvements to the popular NeuralProphet library, improving usability for uncertainty and quantile displays. As a former sports car engineer turned ML practitioner, she moves fluidly between hardware, control systems and production-grade ML, having built robotic gadgets and led vehicle-control research. She has a track record of scaling technical teams and communities—leading TUM.ai as president and now serving on its board—mentoring over 100 students and researchers. Growing up on a farm and an avid outdoorsperson, she brings pragmatic hands-on problem solving and resilience—whether fixing cars or hiking Kilimanjaro—to fast-moving startup environments.
3 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Automotive System Engineering Mechanical Engineering, Bachelor of Engineering - BE Automotive System Engineering Mechanical Engineering at Baden-Wuerttemberg Cooperative State University (DHBW)Visiting Student Researcher at the Sustainable System Lab, Visiting Student Researcher at the Sustainable System Lab at Stanford UniversityAbitur, Abitur at Gymnasium bei St. MichaelMaster studies Mechatronics & Robotics, Master studies Mechatronics & Robotics at Technical University of MunichHonours Degree Technology Management, Honours Degree Technology Management at Center for Digital Technology and Management (CDTM)Calhan High SchoolResearch Intern Vehicle Control, Research Intern Vehicle Control at University of Waterloo
English, French, Portuguese, Spanish
Github Skills (16)
neural-network10
data-visualizations10
forecasting10
pytorch10
machine-learning10
time-series10
data-visualization10
data-visualisation10
forecast10
python10
plotly10
matplotlib10
autoregressive-models9
deeplearning-ai9
deep-learning9
Programming languages (2)
Github contributions (5)
ourownstory/neural_prophet
Sep 2022 - Jan 2023
NeuralProphet: A simple forecasting package
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:57 reviews, 17 commits, 40 PRs in 3 months
Contributions summary:Leonie primarily focused on enhancing the visualization and plotting capabilities of the `NeuralProphet` library. They introduced features like separate panels for uncertainty plots and custom quantile visualizations, and also optimized the plotly integration with plotly-resampler. The user addressed several formatting issues and refactored plotting utility functions, contributing to the overall maintainability and user experience of the library.
forecastingneuralprophetpythonforecasttime-series
ourownstory/test-of-time
Nov 2022 - Nov 2022
A small framework to benchmark forecasting models via backtesting
Contributions:35 reviews, 1 commit, 67 PRs in 1 day
forecastingpythonforecasting-modelsmachine-learningbenchmark
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