# Bart Zyglowicz

> Product engineer. Full-stack. AI-native.

I design and ship products across UX, frontend, backend, and AI workflows. From experimentation-heavy product teams to AI-native systems with real integrations, operational visibility, and controllable execution.

## What I do

I work across UX, frontend, backend, integrations, and operations, and I care about what actually ships.

I build around models with workflows, tools, evaluation, retries, and human control instead of pretending a prompt is a product.

I come from experimentation-heavy teams and care whether users actually get value.

I gravitate toward systems where things actually happen: background jobs, fulfillment pipelines, API integrations, business workflows with operational weight.

I started in product design, which is probably why I still care about how technical systems feel to use, not just whether they work.

## Experience

Booking.com, 5 years. Built internal ML tooling and experimentation interfaces that helped product and data teams work with models in a high-scale environment.

Cohabs, 4 years. Owned product work across web and mobile, including member-facing flows, backend services, and internal tools for operations and support.

HiCoach, 1 year. Founding product engineer from concept to launch, spanning product direction, UX, backend API, and mobile/web implementation.

## Case studies

- Upscale Print (https://zyglowicz.pl/case-studies/upscale-print): A live e-commerce product that turns phone photos into gallery-quality wall art. AI handles image analysis and enhancement behind the scenes, connected to Stripe payments and print fulfillment through Prodigi.
- Marketing Agent System (https://zyglowicz.pl/case-studies/marketing-agent-system): An AI agent system that runs the marketing for Upscale Print. It plans content, generates creative, publishes to Instagram, and feeds performance data back into future decisions.

## How I work

I like building products, not just shipping tickets.
I prefer practical systems over clever abstractions.
I care about observability and control when AI is involved.
I think good UX is part of engineering quality.
I learn fastest by shipping and iterating.

## Contact

- Email: b@zyglowicz.pl
- Phone: +48 882 170 636
- LinkedIn: https://www.linkedin.com/in/bartekzyglowicz/
- GitHub: https://github.com/tumski
- CV: https://zyglowicz.pl/bart-zyglowicz-cv.pdf

## Full content

For the complete version with full case study details: https://zyglowicz.pl/llms-full.txt