“We know AI could help us automate and improve our processes, but we don't know where to start.”
I help define your pain points into concrete use cases, requirements and measurable technical outcomes.
Applied AI Engineering & Consulting
I ask the right questions to help teams figure out what is the actual challenge, what is technically realistic, what is worth building, and how to turn it into a valuable solution into this vast AI landscape.
From technical discovery and model evaluation to prototyping, implementation and deployment.
The starting point
“We know AI could help us automate and improve our processes, but we don't know where to start.”
I help define your pain points into concrete use cases, requirements and measurable technical outcomes.
“There are too many models and tools. Which approach actually makes sense for our use case?”
I evaluate realistic options based on performance, data, cost, infrastructure, privacy and implementation constraints.
“The prototype works. Turning it into something reliable and secure at scale is another problem.”
I help move from experiment to validated, integrated and secure production-oriented AI systems.
How I help
1. Understand
Clarify the pain points, identify opportunities where AI/ML can bring value and revenue while keeping it technically realistic.
2. Design
Compare approaches and select models, tools and architectures based on your real constraints.
3. Build
Build an MVP, test and architect solutions to help move promising prototypes toward real-world product use.
4. Evaluate
Assess the performance and effectiveness of implemented AI solutions against defined metrics and business objectives.
How I work and think
August 18, 2026
An honest, work-in-progress attempt at teaching FLUX to keep an object's identity straight across four views
April 18, 2025
Pixel-wise wrinkle segmentation is still an unsolved task with many applications
August 19, 2024
GenAI software & tools in image generation & editing for (mostly) non-technical users.