AI strategy & feasibility
Find where AI can make a measurable difference and what it will take to get there.
What you get
- Prioritised use cases and success metrics
- Data readiness and feasibility assessment
- Architecture and implementation roadmap
Dr. Pjotrs Grišins, Solutions Architect
Turn AI potential
into business
results.
I help businesses succeed by implementing AI, machine learning and computer vision. From defining the right problem to building a solution that works in practice.
9+ yearsin industrial R&D
Research → productionModels, software & integration
PhD in PhysicsDeep technical foundations
01 / How I can help
Clear problems.
Concrete deliverables.
Start with a focused assessment, build a working prototype, or take an existing model into production.
AI assistants & knowledge search
Make internal knowledge easier to find and put AI to work in your existing workflows.
What you get
- A focused assistant or RAG prototype
- Integration with your documents and tools
- Evaluation cases and a rollout plan
Machine learning & computer vision
Turn images, measurements and domain knowledge into models built around your problem.
What you get
- A reproducible data and training pipeline
- A validated model with baseline comparisons
- Deployment to cloud, desktop or device
Production & technical delivery
Close the gap between a promising experiment and software your team can rely on.
What you get
- Model serving and application integration
- Automated evaluation and regression checks
- Documentation and knowledge transfer
02 / Experience that informs the work
Built for the
real world.
Selected work from my industrial R&D and product delivery experience.
From customer images to deployed models
Developed custom appearance models for automotive paint, working with large image datasets and customer-specific data. Deployed models with AWS and supported integration into an online formulation solution.
More value from existing hardware
Developed models to predict appearance parameters based on existing sensor data. Delivered algorithms for firmware integration, helping customers preserve compatibility with their existing databases.
Software delivery across three countries
Coordinated a software solution across three countries and two continents. Translated customer feedback into requirements and helped deliver the solution on time to thousands of B2B customers.
03 / Working together
Start with the problem.
Measure what matters.
Understand
Clarify your workflow, constraints and data. Agree on what a useful result looks like.
Build & evaluate
Establish a baseline, test the simplest useful approach, and validate against agreed metrics.
Deliver & hand over
Integrate the solution, document the decisions, and equip your team to take it forward.
Let’s make it concrete
What could AI do
for your business?
Tell me about your challenge, your data, and what success would look like. We’ll work out a useful next step.
Start a conversation