About Thilo Hofmeister

AI Architect • AI Engineer • Lecturer • Entrepreneur

I'm an accomplished AI architect, AI engineer, full-stack developer, and lecturer specializing in artificial intelligence, machine learning, and cloud architectures. Currently teaching "Emerging Technologies & AI" at HTW Berlin while leading cutting-edge AI implementations and architectural design in the industry.

Professional Focus

As a Generative AI Expert, I've been developing and deploying AI solutions since 2018, with deep expertise in:

• Artificial Intelligence & Machine Learning: Designing and implementing production-grade AI systems, from computer vision models to natural language processing solutions
• Cloud Architecture: Building scalable AI platforms on AWS and Azure with infrastructure-as-code approaches
• Full-Stack Development: Creating end-to-end solutions that integrate AI capabilities with modern web technologies

Current Activities

Industry Leadership

I currently serve as a GenAI Architect & AI Lead at a major consulting firm, where I design and deliver production-approved AI solutions with complete ownership of architectural design, full-stack implementation, CI/CD pipelines, and infrastructure. My work includes:

• Leading solution architecture and system design for AI-driven data labeling projects with hybrid supervised/GenAI ML systems
• Directing engineering teams to achieve significant efficiency gains through automation and optimized ML workflows
• Defining architectural patterns and best practices for AI use-case evaluation and project documentation
• Mentoring new colleagues in GenAI/ML system design, architecture, and implementation

Academic Engagement

As a Lecturer at HTW Berlin, I guide students through the latest advancements in AI and emerging technologies:

• Developing and delivering curriculum on cutting-edge AI applications and methodologies
• Conducting hands-on practical sessions to enhance student proficiency in AI development
• Teaching the training, evaluation, and deployment of machine learning models using modern cloud technologies

Consulting & Innovation

Through my consulting practice, I've delivered transformative solutions across various industries:

• Automated EDI interactions for warehouse management systems with major logistics providers
• Developed NLP solutions that reduced manual interaction requirements by 99%
• Led complete application ownership for core manufacturing systems
• Implemented database migrations, continuous deployments, and UI integrations

Entrepreneurial Ventures

Reminisce.ai (2021-2023)

Founded and developed a generative AI-based learning platform for IT professionals, awarded the prestigious EXIST-Scholarship:

• Created a comprehensive ecosystem including web application and native mobile apps
• Engineered AI logic and machine learning pipelines for personalized learning experiences
• Automated cloud-based hosting and deployment processes on AWS for optimal scalability

Previous Technical Leadership

• Senior Vice-President for AI-based Education: Architected and led transformative generative AI solutions for automated content processing, web research, and quality control in educational technology
• Machine Learning Engineer: Designed and developed cutting-edge object detection models for automated infrastructure assessment, improving detection accuracy through innovative CNN architectures

Technical Expertise

AI & Machine Learning

• Generative AI: Large Language Models, prompt engineering, AI agents
• Computer Vision: Object detection, semantic segmentation, image processing
• Natural Language Processing: Text analysis, information extraction, conversational AI
• ML Operations: Model training, evaluation, deployment, and monitoring

Cloud & Infrastructure

• AWS: Certified Developer & ML Specialist with expertise in Lambda, SageMaker, Aurora
• Azure: Cloud architecture and AI services implementation
• Infrastructure as Code: Terraform, AWS CDK, containerization with Docker
• Data Engineering: Apache Airflow, Databricks, data pipeline automation

Development Stack

• Languages: Python, Java, TypeScript/JavaScript, C++/CUDA, R
• Frameworks: Django, React, Next.js, FastAPI, Vue.js
• AI Tools: TensorFlow, PyTorch, Transformers, LangChain, Scikit-Learn
• DevOps: CI/CD pipelines, Git, automated testing and deployment

Education & Recognition

• M.Sc. Business Analytics, TU Bergakademie Freiberg (Graduated as year best with GPA 3.9)
• B.Sc. Economics, University of Hohenheim (Specialized in Econometrics and Information Systems)
• Winner: TDWI Young Guns Data Challenge by Deloitte (2018) - Built custom recommendation engine using knowledge graphs and NLP

Certifications

• TensorFlow Certified Developer
• AWS Certified Developer & Machine Learning Specialist
• Databricks Data Engineer Associate
• Apache Airflow Fundamentals & DAG Authoring

Philosophy & Approach

I believe in translating complex AI concepts into practical, scalable solutions that deliver real business value. My approach combines deep technical expertise with a focus on user experience and system reliability. Whether developing AI agents, implementing cloud architectures, or teaching the next generation of technologists, I'm committed to pushing the boundaries of what's possible with artificial intelligence.

Currently based in Stuttgart, Germany, I'm passionate about the intersection of AI, education, and practical problem-solving. When I'm not developing AI systems or teaching, you'll find me exploring literature, composing music, or researching the latest developments in machine learning.