AI Engineer · Agentic Automation
I started as a chef. Became a programmer. Spent four years delivering enterprise RPA at a global corporation. Learned to break systems. I then worked as an AI Integration Engineer at stock.link, designing and integrating AI-driven solutions into operational workflows for B2B / manufacturer contexts — including agent pipelines and tool integrations. That role ended in August 2026.
I am currently available for selected AI engineering contracts, B2B consulting engagements, and technically ambitious collaboration opportunities while preparing the launch of FLOWENTIC.
Legal name: Gheorghe Rusu · Professional name: George Rusu
The rare part isn't any single skill — it's the combination in one person: deep enterprise operations and RPA experience, production-grade agentic engineering, voice AI, and a security mindset. That's what makes the systems I design fit real operational constraints.
// next_chapter
I am currently preparing FLOWENTIC, a B2B AI automation and software company focused on reliable AI agents, RAG, document automation, and enterprise integrations.
The company is being prepared for launch — not yet operational, and this personal portfolio remains the primary place to review my technical work and discuss selected contracts. FLOWENTIC is not positioned as a creative agency or automation studio.
Visit FLOWENTIC// career_trajectory
Building the foundation for a B2B AI automation and software company — reliable agents, RAG, document automation, and enterprise integrations. Until launch is complete, this portfolio stays the professional surface for technical work and selected engagements.
Former role designing, configuring, and integrating AI-driven solutions into core operational workflows. Work included agentic pipelines (LangGraph, FastAPI), LLM-assisted decision layers, Human-in-the-Loop patterns, and practical integrations across tools such as Slack, Trello, Twilio, and ElevenLabs. This is a personal account of my employment experience; this portfolio is not affiliated with, endorsed by, or published on behalf of stock.link.
Four years building and maintaining enterprise-grade automation at a global technology corporation. Reduced manual workloads by 85% and cut operational costs by up to 80% through process automation. This is the enterprise operations depth — reliability, integration, and the language of operations leaders — that informs how I design agentic systems for real operational constraints, not only demos.
Four technical systems in 2026: Agentic AI Playground, AI On-Call (pilot case), an open-source Production RAG Service reference implementation, and George AI Assistant — a live multi-agent public demo. Production-grade architecture; not claims of client production deployments.
3 months of intensive hands-on learning on TryHackMe — networking fundamentals, Linux administration, and security concepts. Reached top 3% on the platform. Documented every lab in Notion. Built the logical precision that directly complements automation engineering.
Studied under WellCode mentors (ex-Facebook, Google, Palantir). Built 200+ algorithmic problems, OOP architecture, and multiple C++ systems from scratch including full Unreal Engine 5 game prototypes.
8 years leading teams in high-pressure, high-output environments. Developed the operational discipline, communication precision, and problem-solving instincts that underpin all technical work.
// skill_set
Stack shaped by public projects on GitHub plus professional AI integration work (including stock.link).
// education
Ex-Facebook, Google & Palantir instructors · 8+ years experience
C++ foundations, 200+ algorithmic problems, OOP architecture, code quality standards, and project design. Built the engineering mindset and problem-solving discipline applied across all technical work since.
2025 — 2026 · Completed
Reached top 3% on the platform in just 3 months — networking, web exploitation, and privilege escalation rooms, all documented in Notion.
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