Über Lovis
Bridge the gap between complex mathematics and scalable software.
I combine academic rigor with five years of hands-on startup experience. With an M.Sc. in Mathematics (specializing in Probability Theory and Discrete Mathematics), I solve algorithmic challenges where standard software engineering reaches its limits.
My Expertise:
- Algorithmic Optimization: Applying discrete logic to build high-efficiency systems.
- Software Architecture: Designing scalable, clean infrastructures (Nodejs/Python/Fullstack).
- Product Strategy: Having founded and built my own app, I understand how to translate business logic into technical excellence.
I help companies turn complex requirements into mathematically sound, high-performance solutions—pragmatic, efficient, and with a focus on the big picture.
Currently available for remote consulting, architecture reviews, or specialized logic design (approx. 10h/week).
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Spanisch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- Meistersystems GmbHFounding Engineer & Tech Lead | Construction Tech AutomationDIGITALAGENTUREN & IT-CONSULTINGSeptember 2020 - November 2025 (5 Jahre und 2 Monate)Berlin, GermanyAs a member of the founding team, I played a pivotal role in digitizing complex workflows for the construction industry. I transitioned from a hands-on founding engineer to leading cross-functional IT teams, specializing in high-performance backend architectures and automated data processing.Key Achievements:
- System Architecture & Performance: Architected and owned a complex multi-tenant PIM (Product Information Management) system. Architected a complex graph and expression based quote creation system for construction quotes. By redesigning core bottlenecks and optimizing database queries and algorithmic computations, I achieved performance improvements of up to 10x.
- Leadership & Strategy: Led and mentored local and offshore engineering teams, establishing agile workflows and maintaining high code quality standards.
- Algorithmic Data Extraction: Developed and deployed sophisticated models for automated data extraction and enrichment, leveraging discrete logic to handle unstructured industry data.
- Infrastructure: Engineered a robust, AWS-focused cloud environment utilizing a high-performance stack for real-time data processing.
Tech Stack: Python, Node.js, PostgreSQL, OpenSearch/Elasticsearch, Redis, AWS Ecosystem. - Okapi Tech GmbHFounder & Lead Architect | Table Tennis Community PlatformDIGITALAGENTUREN & IT-CONSULTINGJuni 2023 - Heute (3 Jahre)Berlin, GermanyAs the sole technical founder, I architected and scaled a social ecosystem for the table tennis community from the ground up. Beyond full-stack execution, I focused on building a resilient system architecture capable of handling real-time social interactions and complex user data.Key Contributions:
- System Architecture: Designed and implemented a scalable cloud infrastructure using Google Cloud, Firebase, Node.js and PostgreSQL, ensuring high availability and data integrity.
- Algorithmic Logic: Developed custom logic for player connectivity and community features, applying discrete logic to optimize user matching and social graphs.
- Full-Cycle Ownership: Managed the complete product lifecycle, including financial modeling and strategic investment planning, bridging the gap between technical constraints and business growth.
Tech Stack: React Native, Node.js, PostgreSQL, Google Cloud, Firebase. - dida Datenschmiede GmbHGraduate Data Scientist (Working Student) | NLP & Machine LearningDIGITALAGENTUREN & IT-CONSULTINGJanuar 2020 - Oktober 2020 (9 Monate)Berlin, GermanyFocusing on the intersection of mathematics and Artificial Intelligence, I developed automated solutions for processing complex business documents. This role allowed me to apply probabilistic models to real-world Natural Language Processing (NLP) challenges.Key Contributions:
- Algorithmic Information Extraction: Designed and implemented Python-based pipelines to extract structured insights from unstructured data.
- Model Development: Assisted in training and fine-tuning machine learning models, focusing on accuracy and computational efficiency
- Statistical Analysis: Conducted deep-dive data analysis to validate model performance and improve data enrichment workflows.
Tech Stack: Python, Scikit-learn, Pandas, PyTorch, NLP Frameworks.
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Ausbildung und Abschlüsse
- Master of Science - MSTechnische Universität Berlin2021Master's degree in Mathematics with a focus on Stochastic Analysis, Financial Mathematics, and Combinatorics.
- Bachelor of Science - BSTechnische Universität Berlin2018Bachelor's degree in Business Mathematics with a focus on Stochastic Analysis and Combinatorics.