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Case
studies.

The products I helped build, my role, and the choices behind the work.

Phoebe.ai / CoralOct 2025 – Jul 2026

A desktop app
around a CLI.

I joined Phoebe.ai to build an AI agent for investigating incidents. After the pivot to Coral, I designed and built an Electron app for connecting data sources, running queries, and inspecting results.

CORAL DESKTOP / 01 OF 02
Coral desktop app showing configured Claude data and available observability sources
01 / Connecting data sources

From prototype to desktop app.

I proposed the desktop approach, built the prototype, and shipped it with the CLI bundled inside. Deep links opened a connected agent with a useful first prompt.

Queries you can inspect.

I built tracing views for generated queries, execution steps, and failures. I also built the earlier withcoral.com website.

Metaphysic AIFeb 2024 – Oct 2025

A workflow builder
the team could extend.

At Metaphysic AI, I owned frontend development and later product delivery for Brahma, a node-based builder for video and machine-learning workflows.

BRAHMA / 02 OF 05
Brahma workflow builder showing a complete machine-learning pipeline and its properties inspector
02 / Complete workflow and live properties

Reusable node controls.

I designed shared node primitives, controls, and states around GraphQL contracts.

Fewer frontend handoffs.

Backend and ML engineers could add operations through those pieces, cutting frontend work while keeping workflow nodes consistent.

AttioJul 2022 – Jun 2023

Product onboarding
and the 2023 website.

I improved onboarding flows, worked on legacy-system and PostgreSQL migrations, and built the 2023 website with product and design.

Open screenshot
Attio's Customer relationship magic homepage, with a live CRM table framed by a fine grid.
Attio / 2023 website6 March 2023 archive
PipedriveOct 2018 – Feb 2022

From a chatbot MVP
to a frontend platform.

I joined the Prague team as its second engineering hire and helped build a web-embeddable chatbot MVP that became a lead-generation product. I later moved to the frontend platform team.

01 / Research

User interviews

Understand how people moved data between two products.

02 / Design

Figma prototypes

Test the proposed flow with external stakeholders.

03 / Build

Production UI

Build the frontend and add event tracking.

04 / Test

A/B testing

Use observed behaviour to improve the flow.

Shared frontend tools.

I built reusable tools and design-system components for product teams. I also led month-long projects with 3–9 contributors and helped onboard, mentor, and interview engineers.

Design through implementation.

On the data-conversion project above, I worked as both product designer and frontend engineer, from user interviews through the production flow and A/B testing.