Working full-time while studying Applied Artificial Intelligence, with a strong focus on building real-world systems across AI, automation, web development, and digital products.
I’m especially interested in combining technical execution with product thinking not just training models, but building usable systems, workflows, and applications that solve real problems.
I focus on practical, applied work across AI, software, automation, and digital product development.
My interests and projects span:
- Machine Learning and Deep Learning
- Computer Vision and pattern-based systems
- Natural Language Processing
- Automation and bot development
- Web development and digital product building
- Cloud, infrastructure, and deployment
- Brand building and product positioning
I prefer execution over empty theory, working systems over vague concepts, and scalable solutions over isolated experiments.
- Applied AI
- Deep Learning
- Computer Vision
- Natural Language Processing
- LLM Workflows
- Bot Development
- Workflow Automation
- Cloud Deployment
- Product Thinking
- MVP Building
- Brand Building
I work on applied machine learning projects with a strong focus on implementation, evaluation, and practical usability.
This includes:
- model development
- data preparation
- testing and evaluation
- performance-aware implementation
- building systems around the model, not just the model itself
Focus areas:
Python · Machine Learning · Deep Learning · Evaluation Pipelines · Real-World Application
A major area of interest is computer vision, especially systems that detect, classify, or interpret visual input under practical constraints.
Examples of work in this area include:
- age, gender, and emotion recognition
- video object detection
- edge-oriented or resource-aware applications
- image-based analysis pipelines
Tools / concepts:
Python · OpenCV · Deep Learning · Inference Workflows · Performance Awareness
I also work on NLP-related projects, especially in applied use cases where text needs to be classified, processed, or turned into structured signals.
Examples include:
- sentiment analysis
- text classification
- language-driven logic inside systems and products
Tools / concepts:
Python · Scikit-Learn · NLP Pipelines · Transformers · Applied Text Processing
I build automated systems designed to reduce manual work, handle repetitive actions, or execute logic-based workflows.
This includes:
- trading bot development
- rule-based and data-driven automation
- workflow systems
- API-based automation and integrations
Focus:
Python · APIs · Automation Logic · Bot Systems · Process Thinking
Beyond AI, I also build websites, frontend systems, and digital products with a practical, execution-first mindset.
This includes:
- frontend projects
- app concepts and MVP thinking
- product-oriented interfaces
- connecting technical systems with usable experiences
- translating ideas into structured products
Stack / areas:
JavaScript · React · HTML · CSS · Web Interfaces · Product Thinking · MVP Development
I’m also interested in the system side of development — how projects are deployed, structured, and maintained beyond local development.
Areas I work with include:
- cloud setup
- deployment flows
- infrastructure as code
- practical system design for AI and web projects
Tools / areas:
AWS · Google Cloud · Terraform · GitHub · Deployment Basics · System Structure
Right now, I’m especially focused on:
- building AI systems that go beyond notebooks and become usable products
- combining automation with practical business and product use cases
- expanding technical range across ML, deployment, and product execution
- building projects that sit between AI, software, and digital entrepreneurship
- Location: Germany
- Background: Applied Artificial Intelligence
- Work Style: Practical, structured, execution-driven
- Interests: AI systems, automation, digital products, scalable solutions
- Approach: Build first, refine fast, optimize for real use
- Mindset: Strong interest in combining technical systems with product execution