Product MVP (2–6 weeks)
- UX wireframes & design system
- Nuxt or Flutter app
- NestJS API & DB
- Auth & roles
- CI/CD ready
services.typical_delivery: Sprint-based roadmap with weekly demos.
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Lean iterations, strong testing discipline, and thoughtful UX.
Microservices, GraphQL, queues and schedulers, and cloud-ready deployments.
From feature engineering to model serving and monitoring.
This project consists of predicting the popularity of an article based on certain characteristics of the article. To do this we used machine learning prediction algorithms.
Thanks to semantic segmentation we were able to perform aorta recognition in medical images
Using machine learning algorithms, we were able to read identification numbers on aircraft images
android mobile application, allowing stylists and fashion house managers to manage their activities.
services.typical_delivery: Sprint-based roadmap with weekly demos.
services.typical_delivery: From notebook to production within your stack.
services.typical_delivery: Secure flows with clear user comms.
I'm available for freelance/contract and open to longer engagements.
Average response time: under 24h (CET).