Custom vision models in production
Built the pipeline from customer data collection and dataset provenance through PyTorch model training, validation and deployment on AWS.
About / Dr. Pjotrs Grišins
A scientist’s curiosity.
An engineer’s
practical mindset.
I connect deep technical work with the needs of a business, from understanding the customer’s problem to delivering software that people use.
Background
From quantum physics
to industrial AI.
My background combines a PhD in Physics from the Technical University of Vienna, academic research across Europe, and more than nine years in industrial R&D. I work across machine learning, computer vision, algorithms and software delivery, with a focus on making complex technology useful.
At X-Rite in Regensdorf, I have developed models for automotive paint search and formulation, brought algorithms into cloud and embedded environments, and coordinated software delivery across international teams. I work closely with customers, sales, product managers and engineers to turn requirements into technical priorities.
I combine hands-on implementation with technical guidance and mentoring. My approach is to establish a baseline, understand the tradeoffs, and build evidence through reproducible experiments and evaluation.
Selected achievements
Research translated
into working systems.
Physics-informed machine learning
Combined physical models with neural networks for industrial paint formulation, bringing domain knowledge into the modelling process.
Customer-facing software delivery
Coordinated requirements, development and QA for a software solution delivered on time, working with teams across three countries.
Computational research
Authored multiple refereed scientific publications. Researched quantum nanotechnology and atomtronics in Vienna, Trento and Geneva, closely collaborating with experimental researchers. Developed and applied novel numerical simulation and Monte Carlo methods.
Experience & education
A foundation
built over time.
2017–2026 · Regensdorf, Switzerland
R&D Scientist · X-Rite
Computer vision, machine learning, algorithm development, technical leadership and cross-functional product delivery.
2014–2017 · Vienna, Trento & Geneva
Postdoctoral research
Theoretical and numerical physics, quantum systems, scientific computing and international research collaboration.
2008–2011 · Riga, Latvia
Software development · SIA DEAC
Grew from trainee to technical lead on the e-klase.lv school management platform as it expanded to a national audience.
Education
PhD in Physics · TU Wien
BSc and MSc in Physics · University of Latvia
Tools & communication
Technical depth.
Shared understanding.
Core technologies
Python, PyTorch, C++, AWS, NumPy and SciPy. Model development, data pipelines, automated evaluation and application integration.
Languages
English (fluent), German (B2), Latvian (fluent), Russian (native), Polish (intermediate).
Beyond the technical work
I enjoy making complex ideas understandable, whether I’m speaking with customers, collaborating with engineers or presenting to a research audience. I listen carefully, adapt the explanation to the audience, and help people build a shared understanding so they can make informed decisions.
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