Applied AI
LLM workflows, model integrations, structured outputs, retrieval, evaluation, fallback logic, and human review.
Recruiter brief · Applied AI Engineer
I turn unclear AI ideas into working products.
Three years of hands-on work across Python, AI applications, cloud infrastructure, data systems, and internal product delivery. I’m strongest when the problem is loosely defined, the data is untidy, and someone needs to own the path from first prototype to reliable use.
Where I add value
A builder with product range.
My background in finance and analytics helps me understand the business process. My engineering work lets me carry the solution further: into APIs, data pipelines, cloud deployment, user interfaces, and the checks that keep AI outputs useful.
Product engineering
Turning user needs into backend services, internal tools, field applications, and production workflows.
Cloud and data
Google Cloud, AWS, BigQuery, Vertex AI, Docker, SQL, geospatial pipelines, and event-driven systems.
Experience
Selected work history.
The through-line is simple: remove avoidable work, make complex information usable, and take responsibility for the system around the model.
Kenya / Germany
Founder and Applied AI Engineer
RaDa Intelligence
- Designed and built a farm intelligence platform spanning geospatial ingestion, model workflows, backend services, Android capture, and web products.
- Created multi-source pipelines using Sentinel-1, Sentinel-2, ERA5, CHIRPS, BigQuery, Earth Engine, and Vertex AI.
- Built the feedback path that turns field observations into training evidence and model-improvement priorities.
Hamburg, Germany
Data Analyst and Project Manager
Statista
- Replaced manual reporting work with Python automation, reducing processing time by roughly 60%.
- Improved internal AI classification models by up to 15% through refinement and testing.
- Developed and deployed a Django application that gave teams secure access to internal tools across offices.
United States / Germany
Finance and data analysis
Kroger Health · KVLR Capital
- Built cloud-supported analytical workflows that reduced processing time by about 30%.
- Automated acquisition valuation models with Python, cutting analysis time by up to 45%.
- Worked with ERP data, operational reporting, due diligence, and cross-functional stakeholders.
Technical profile
Tools I can work in now.
I’m not tied to one model provider or framework. I use the simplest setup that meets the required quality, latency, cost, security, and maintenance needs.
Languages and backend
Python · SQL · Django · Flask · REST APIs · Git · testing · validation
AI and ML
Claude · OpenAI · LangChain · Transformers · TensorFlow · scikit-learn · Vertex AI
Cloud and delivery
Google Cloud · AWS · Docker · BigQuery · Firebase · Cloud Run · GitHub Actions
Data and product
Pandas · NumPy · ETL · remote sensing · geospatial analytics · Flutter · TypeScript
Education
Business context and engineering depth.
Cloud Engineering, Masterschool
Full-time programme completed June 2026.
MSc Finance, Frankfurt School of Finance & Management
Including machine learning and Python for finance.
Bachelor’s degree in Finance, New Jersey City University
Languages: English · German (B1, actively improving)