
Paul Rüsing
About
Electrical Engineering · Data Analytics & ML · Finance | M.Sc. RWTH / ETH Zurich
Hi, I'm Paul. I'm an electrical engineer at the intersection of machine learning, applied systems and business - currently finishing my M.Sc. at RWTH Aachen (Electrical Engineering and Business Administration) with my thesis at ETH Zurich's Institute of Neuroinformatics. My background is deliberately broad: I started in quantitative finance (asset management, financial modeling, early-stage fintech), then shifted into ML research - building time-series clustering, simulation and state estimation models for battery data, and CV/time-series pipelines as a freelancer. I enjoy conceptual work, creative problem-solving and good conversations. I'm curious, rigorous, and do my best work with genuine ownership. Looking for roles where I can build something meaningful - open to positions in AI/energy/health, or founding something myself. Based in Zurich. Feel free to reach out.
Skills
Artificial Intelligence
Asset Management
Batteries
Clean Energy Technologies
Computer Vision
Deep Learning
Energy Modelling
Energy Storage
Financial Analysis
Medical Technology
Neuroinformatics
Python
Open for
cofounder
fulltime
freelancer
Work Experience
FinTech Startup (Stealth)
2022-09 - 2023-02
Founding Analyst
Düsseldorf
fulltime
Five months as the first employee in an alternative investment startup. Main responsibilities: ‣ Co-built pitch deck, processes and business plan from scratch; presented to investors and possible partners. Co-developed investment process and sourced deal pipeline. ‣ Conducted due diligence on target companies, marketed and co-organized first transaction.
Lingohr Asset Management GmbH
2022-05 - 2022-08
Internship: Portfolio Management
Düsseldorf
internship
Quantitative research and analysis for portfolio management. Selected projects: ‣ Developed python analysis toolkit which was used for ‘Value Insights’ research paper coauthored with CIO. Analysis focused on growth patterns, mean reversion and resulting valuation implications. ‣ Screened and reviewed single stocks and market developments and formulated key messages to portfolio managers and CIO.
Holaluz
2022-12 - 2023-05
Analyst
Barcelona
fulltime
Financial modeling and investor communication. Selected projects: ‣ Set up company’s first long-term financial model based on five-year-strategy; iterated with controlling and management to align internal and external targets. ‣ Developed and maintained respective deliverables for investor communication and controlling, including presentations and write-ups. ‣ Conducted investor outreach and presented to new investor targets.
Freelance
2025-04 -
Applied AI Developer
Zürich
freelancer
Applied AI development, including production work for external clients. Selected projects: ‣ End-to-end computer vision pipeline for film artifact removal, including data augmentation, image segmentation, restoration, UX and API in Rust, and ONNX / CoreML optimisation. ‣ Time-series forecasting pipeline for systematic trading, including a backtesting framework for trading strategy evaluation and RL agent training.
RWTH Aachen - Chair for Electrochemical Energy Conversion
2023-11 -
Working Student - AI for Batteries
Aachen
parttime
Delivering data analytics and ML solutions for industry partners in the AI for Batteries group. Selected projects: ‣ Time-series analysis framework for customer segmentation based on battery field data, including utilization and return modeling based on realized and simulated load profiles. ‣ State estimation and fault detection methods for batteries based on field data. Include simulation and optimisation algorithms, equivalent circuit and electrochemical models.
Academic Experience
RWTH Aachen University -
2019.09 - 2023.09
Bachelor of Science, BSc in Electrical Engineer & Business Administration: Electrical Power Engineering
RWTH Aachen University -
2023.09 - 2026.05
Master of Science, MSc in Electrical Engineering & Business Administration: Electrical Power Engineering
ETH Zurich -
2025.10 - 2026.04
Master of Science, MSc in Master Thesis: Institute of Neuroinformatics