Florian Dietz
Scholar
Experience
Scholar
MATS
- Designed an automated model evaluation pipeline enabling LLMs to inspect each other for alignment issues
- Implemented a RAG system with iterative cross-examination for reliable results
- Automated generation of written summaries and hypotheses to support rapid iteration and hypothesis testing
Senior Data Science Consultant
PwC (PricewaterhouseCoopers)
- Helped unify and improve multiple ERP systems by extending development and adding functionalities
- Advised employees on best practices for coding standards and recommended technologies to improve IT infrastructure efficiency
- Integrated programs with a US-managed umbrella project, balancing different requirements and tech stacks
PhD Student, Artificial Intelligence
Saarland University
- Pursuing funded research on neural network capabilities for interpretability and generalization
- Enhanced a foundation model with a novel arithmetic module enabling reliable math solving without external tools (outperformed larger models)
- Created an analysis and debugging tool for neural networks, spotlighted at ICML 2024 Workshop for Mechanistic Interpretability
- Developed an architectural variant improving compositional generalization, demonstrating evidence of grokking where Transformers failed
- Research hypothesis focused on experimental thinking and iterative self-correction in AI systems
Data Engineer & Full Stack Developer
AbbVie
- Planned and implemented a data pipeline to merge and clean three separate published databases into one, enabling effective cross-department communication
- Optimized bottleneck SQL queries by several orders of magnitude, allowing real-time data updates
- Built a Django frontend to organize and display data, facilitating analysis and reducing redundancy
- Proposed and implemented an automated tool to find and visualize connections in legacy databases
- Contract extended multiple times due to continuous identification of new data utilization opportunities
Chief Technology Advisor
AI-bees
- Advised on technology and hiring decisions and formulated long-term AI strategy for the startup
AI Research Consultant
Huawei
- Proposed and developed a tool to improve machine learning model synergy with simulation software and robustness against unexpected situations
- Discovered anomalies in client data, proposed and implemented model modifications to extend capabilities
- Contract extended despite the economic crisis caused by the COVID-19 pandemic
Founder, CTO
Elody
- Built an AI startup that automatically finds and executes appropriate software for user problems in the browser
- Led customer and investor communications, cofounder vetting, and technology development
- Managed the entire tech stack and trained developers on the platform
- Focused initial offering on data science applications
- Marketplace failed to reach critical user traction
Senior Machine Learning Engineer
Palantir
- Worked on high-security data science projects under NDAs for prestigious clients (details confidential)
Data Scientist
Volkswagen Data Lab
- Developed novel AI algorithms optimizing for revenue-driving metrics rather than traditional ML metrics
- Contributed to saving multiple million euros through custom solutions
- Extracted and analyzed data from Oracle and PostgreSQL databases to solve stakeholder problems
- Conceived and implemented end-to-end data analysis solutions
Independent AI Researcher
Independent Research
- Conducted AI and machine learning projects in spare time aiming for safe AGI
- Founded Elody based on semi-automated programming methods
- Advised companies on AI strategies
- Explored parallels between human cognitive biases and algorithm failure modes
Senior Data Scientist
AE Studio
- Worked as Data Scientist for client projects and AI researcher on internal AI alignment initiatives
Mentor
SPAR
- Mentored two teams on alignment-related projects:
- Split Personality Training: Built a second personality in an LLM to review past behavior with access to hidden internal knowledge
- Deliberative Credit Assignment: Improved reasoning performance by making chain-of-thought interpretable, aligning evolutionary and financial incentives
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (17 years), Professional Services (17 years), Education (4.5 years), Automotive (1.5 years), Healthcare (1 year), and Pharmaceutical (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (17 years), Strategy (17 years), Product Development (3.5 years), Information Technology (2.5 years), Business Intelligence (2.5 years), and Marketing (2.5 years).
Summary
AI Research Engineer with 15+ years of experience, bridging cutting-edge research and business value. Specialized in LLM architectures and neural network optimization.
- AI TRANSFORMATION & STRATEGY: Consulted multiple companies on AI strategy, data science, and finding synergies between their existing tech stack and emerging technologies.
- LLM EXPERTISE: Recent intensive upskilling on LLM-based workflows with APIs under the mentorship of industry leaders. Results included RAG, cross-examination between multiple LLMs, and various tricks that are little known outside of frontier labs.
- DEEP UNDERSTANDING OF NEURAL NETWORKS: Fundamental research funded by the NHR. Created a popular tool for debugging neural networks, making them more interpretable.
- BUSINESS KNOWLEDGE: Startup founder, freelance data science consultant.
- PRACTICAL RESEARCH: Multiple million dollars saved in industry through novel algorithms of my own design, customized for their business needs.
- FULL STACK DEVELOPER: Responsible for the entire tech stack at my startup.
- EXCELLENT CREDENTIALS: Worked at Palantir, received multiple awards and scholarships.
- BROAD AI KNOWLEDGE: I follow recent publications and participate in upskilling programs. I am driven by the desire to understand how thinking works, and this motivated me to get a diverse view of both AI and psychology. I have seen the ups and downs of the industry and can tell the difference between hype and substance.
Skills
Main Skills
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Data Science
- Full Stack Developer
Research Areas
- Ai Alignment, Ai Safety
- Mechanistic Interpretability
- Robustness
- Reward Modeling
- Mesa-optimization
- Scalable Oversight
- Corrigibility
- Truthfulness
- Coordination Problems
- Ai Governance
- Explainable Ai (Xai)
- Meta Learning
- Llms, Large Language Models
- Continual Learning
- Transfer Learning
- Multitask Learning
- Curriculum Learning
- Attention Mechanisms
- Reinforcement Learning
- Routing Networks
Programming Languages
- Python
- Java
- Lisp
- Sql
- Html/css/javascript
- C#
- C++
- R
Technologies
- Pytorch
- Tensor Flow
- Pandas
- Scikit-learn
- Numpy
- Matplotlib
- Prompt Engineering
- Rag
- Llms As Agents
- Huggingface
- Postgresql
- Mysql
- Microsoft Sql Server
- Oracle Sql
- Neo4j
- Redis
- Data Lake
- Data Warehouse
- Django
- Docker
- Agile Development
- Ci/cd (Continuous Integration / Continuous Delivery)
- Git
- Version Control
- Terminal / Command Line Scripting
- Hadoop
- Json
- Api Development
- Rest
- Deep Learning
- Neural Networks
- Ubuntu / Linux
- Windows
- Mac
Languages
Education
Saarland University
Artificial Intelligence · Saarbrücken, Germany
Saarland University
M.Sc. Computer Science · Computer Science · Saarbrücken, Germany · 1.4 (German grading system)
Technical University Munich
B.Sc. Computer Science · Computer Science · Munich, Germany · 1.6 (German grading system)
Profile
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