Hiring Brief

Best-fit roles

Lead Frontend Engineer / Frontend Platform Lead
Senior or Lead Full-Stack Engineer
Product-Minded Technical Lead
Startup, scale-up, SaaS, or software-publisher technical lead
Developer Tooling / DX / AI-directed delivery lead
Operational software lead where reliability, traceability, and observability matter

Best environments

Autonomous product teams, startups, scale-ups, SaaS companies, software publishers, and small expert teams with direct user feedback, short decision loops, low ceremony, and ownership from problem framing to production.

Teams where traceability supports delivery rather than replacing it: clear goals, lightweight specs, observable systems, automated checks, and fast feedback loops.

Strongest proof points

25+ years building production web software, starting in 1998.
tchatche.com: Media & Community Ecosystem: lead developer and technical owner for white-label real-time chat applications.
tchatche.com: Media & Community Ecosystem scale: 600M views/mo, 13-lang i18n, $300K/mo, 400M req/day sites, ~125K req/s chat.
Ad Proxy: Ad-Distribution Server: 3B+ ads/mo, +20% ad revenue, +30% CTR, ~5% CPU.
Recent aerospace and industrial systems: Central orchestration service for aerospace smart-cabinet operations, synchronizing Nexess cabinet servers, Google Workspace, Skywise datasets, and internal management tools while modernizing an undocumented, untyped legacy Python codebase into typed, observable, production-grade infrastructure for 16 Airbus assembly plants.
Public developer tooling: HeadJS: Open-Source JS Library, T4ResX: Localization Tooling, FindUnusedFiles: Visual Studio Extension, JsonRaw: Lightweight JSON Protocol, HealthMonitoring: Error Tracking.
Uncle Bob: Agentic AI Workflow System: Portable skill system for AI coding agents, structured as a human-owned delivery model for quality, workflow, governance, authoring, and specialist implementation guidance. It turns Agile, Scrum, Kanban, Shape Up, and AI-evaluation ideas into practical controls: lane selection, durable artifacts, WIP limits, readiness gates, bounded exceptions, evidence routing, docs synchronization, and deterministic validation scripts.

Technical identity

Frontend and web platform: VueJS, Quasar, TypeScript, JavaScript, Vite, HTML, CSS, Tailwind, Bootstrap, jQuery, HeadJS, responsive UI, offline-first UX, browser compatibility, i18n, and performance.
Backend and full-stack: C#/.NET, ASP.NET MVC, Razor, WebAPI, PHP, Symfony, Python, FastAPI, REST APIs, SQL, caching, web services, and background jobs.
Production and observability: structured logging, health monitoring, error aggregation, dashboard feeds, automated alerts, job orchestration, traceability, CSV/PDF exports, operational diagnostics, and performance constraints.
Developer tooling and DX: Visual Studio tooling, T4 code generation, localization tooling, unused-asset detection, documentation generation, repository integrity checks, quality gates, and repeatable validation.
AI-directed delivery: AI agents, GitHub Copilot, Codex, Claude Code, reusable skills, workflow artifacts, governance gates, acceptance criteria, automated testing, docs sync, and agent handoffs.

AI framing

Robert uses AI agents as implementation accelerators inside a human-owned engineering process. His value is in architecture, product/functionality decisions, decomposition, acceptance criteria, testing strategy, review, quality gates, documentation sync, automation, and maintainability.

He is not positioning himself as an ML model engineer.

Operating mode

I use AI agents for implementation throughput inside an AI-directed, human-owned delivery system. Product direction, architecture, acceptance criteria, review, tests, docs sync, and quality gates stay under my control.

I’ve spent 25+ years building production software that has to survive real traffic, real users, and real operational constraints. I am frontend-led, not frontend-limited: my work spans ~125K req/s chat-cluster peaks, a 400M req/day managed media network, 3B+ impressions/month ad systems, backend APIs, databases, caching, observability, offline field apps, and developer tooling.

Not primary positioning

ML model engineer
Kubernetes/SRE specialist
Pure security engineer
Pure process/agile coach
Heavy enterprise-architecture or bureaucracy-focused consultant
Pure people manager detached from hands-on product and technical ownership