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PRINCIPAL ENGINEERING FOR AI & DATA-INTENSIVE PRODUCTS
I help startups design, build and scale the backend, data and AI systems their products depend on. I join as an embedded principal engineer or technical lead — owning the hard architecture and implementation while making your team faster.
Production AI & Agents · Backend & Cloud · Data Platforms · Chromium
14+ years of production systems, from startups to large financial and technology companies. Top 3% vetted on Toptal.
Discuss your engineering challenge

WHO YOU'RE HIRING

DevPeer is the independent engineering consultancy of Tomasz Posłuszny. I read messy, undocumented systems fast, make architecture calls you can defend to your board, and then build the difficult part myself — I don't hand it off. Engagements typically run two to four days a week alongside your existing team: your engineers review my pull requests, I review theirs, and the knowledge stays with you when I leave.

WHAT I BUILD

WHERE CLIENTS BRING ME IN

Production AI and Agents

Agent architectures that survive contact with real users: multi-step tool execution, provider failover, context management and safety boundaries. I have shipped a browser agent to the Chrome Web Store, not a demo video.

Backend and Data Platforms

Ingestion, streaming, analytics and cloud infrastructure for data-intensive products. Designed around the traffic you actually get and the budget you actually have, with the operational story worked out before launch.

Performance-Critical Systems

When latency or infrastructure cost is the product constraint, I profile, redesign and rebuild the hot path. On one production web-extraction platform that meant 2.5x lower rendering latency and better hardware utilisation.

Chromium Engineering

Deep browser-engine work: Chromium forks, rendering internals, and the release and update infrastructure behind shipping desktop products on Windows and macOS while staying in sync with upstream.

Discuss your engineering challenge

SELECTED WORK

BROWSEWIZ

BROWSEWIZ

Production AI agent, live on the Chrome Web Store. Multi-step tool execution, provider failover and context management, with built-in Google Sheets and Calendar tools plus custom tools, MCP servers and any OpenAI-compatible model.

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WEB RENDERING SERVICE

WEB RENDERING SERVICE

2.5x lower rendering latency for a web data extraction platform. Rebuilt the production rendering path as a load-tested service that started replacing the legacy system within two months.

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BRIGHT BROWSER

BRIGHT BROWSER

Chromium desktop browser for Mac and Windows. Led development, advanced extension integrations, and the release and update infrastructure that kept the product in sync with upstream Chromium.

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SEARCH-FIRST BROWSER

SEARCH-FIRST BROWSER

Desktop browser built around a search-first experience, with search index suppression and contextual web browsing implemented inside the engine.

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BROWSER PRIVACY FEATURE

BROWSER PRIVACY FEATURE

Chromium and Firefox fork modifications that override, at engine level, the JavaScript APIs used for tracking and fingerprinting.

WHERE AI PRODUCTS BREAK

Most AI products work in a demo and break in production. Tool calls fail silently and the agent treats the error as a result, then reports work it never did. A prompt that worked on one model behaves differently on the next. Latency triples halfway through a multi-step workflow, and serving cost — not model quality — starts governing your unit economics. That is the layer I work in: agent loops that recover from failure, evals that tell you whether a change actually helped, context that stays inside the window, and a cost per request you can forecast.

HAVE A PROBLEM WORTH SOLVING?

GET IN TOUCH

Tell me about the system you are building, or the one that is slowing you down. I read every message myself and reply within one business day.

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