Über Nina
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Projekt- und Berufserfahrung
- FreiberuflerSenior ML / AI & Data EngineerDIGITALAGENTUREN & IT-CONSULTINGJuli 2023 - Heute (2 Jahre und 11 Monate)Sinsheim, Deutschland- Developing AI-based recommendation systems for color, text, and content optimization to support web-based brand creation. Integrating prompt engineering, generative AI, and visual-semantic analysis into existing creative workflows. Focused on production-ready API development and modular machine learning components.- Directed the development of a complex AI-driven algorithm for a startup, leveraging LLMs to address advanced challenges in video processing. Planned and outlined a roadmap to guide implementation and ensure a scalable, innovative solution.- Developed a predictive recommendation engine for a major entertainment company, utilizing Big Data technologies. This project enhanced user engagement and retention, resulting in an increase in user activity on the platform.- Developed a geospatial analytics model to calculate and filter rooftop sizes suitable for solar energy cell installations, enabling clients in the renewable energy sector to optimize site selection and enhance sustainable energy initiatives.- Architected and planned the roadmap for a comprehensive Feature Store, streamlining feature engineering processes and significantly reducing the time required for model training and deployment.- Designed advanced data pipeline solutions, incorporating scalable and robust data architectures that supported real-time analytics and decision-making capabilities.- Conducted in-depth technology assessments and provided strategic insights, helping clients to adopt cutting-edge tools and methodologies for improved data-driven decision-making.
- FreelancerTechnical Lead AI, AI ArchitectÖFFENTLICHER SEKTOR & KÖRPERSCHAFTENFebruar 2025 - Heute (1 Jahr und 4 Monate)- Leading the creation of a new AI division within a highly regulated environment. Designing a sustainable infrastructure focused on data validation, automation, and scalability. Developed a proof-of-concept project for plausibility checking to demonstrate the feasibility of AI in public administration – covering everything from architecture design to implementation.- Complete overhaul of the data and AI architecture of an established game development company. Conducted a full system audit, identified critical data silos and failure points, and proposed a scalable, cost-efficient target architecture. Currently managing roadmap planning, engineering guidelines (Clean Code, testing), internal training, and implementation of an AI-ready platform. First production-ready clickstream analyses are underway to enable personalized gaming experiences.
- SuitedSenior Machine Learning EngineerOktober 2022 - Juni 2023 (8 Monate)New York, NY, USA- Led the development of a secure, scalable data storage solution, facilitating efficient model building and R&D efforts.- Pioneered data augmentation strategies for ML models, enhancing the predictive accuracy for firms with limited data points.- Authored compliance tests against US regulations for bias and discrimination in predictive hiring models.- Contributed to the growth of the company's customer base by developing tailored predictive models for small firms.
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Ausbildung und Abschlüsse
- Master of ScienceRuprecht-Karls-Universität Heidelberg2019Master of Science - MS, Informatik