I started as a chef. Became a programmer. Spent four years shipping enterprise RPA in production at a global corporation. Learned to break systems. Now I build and ship production agentic AI at stock.link — autonomous systems running in real manufacturer operations.
The rare part isn't any single skill — it's the combination in one person: deep enterprise operations and RPA experience, production agentic engineering, voice AI, and a security mindset. That's what makes the agents I build survive in real operations.
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stock.link is the operational layer for manufacturers — handling marketing, sales, logistics, and raw-material replenishment through a single API. I design and implement AI agent workflows that automate end-to-end manufacturer operations: agentic pipelines for predictive material replenishment, LLM-powered decision layers in logistics and sales, and Human-in-the-Loop approval systems for critical operational decisions.
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 lets the agents I build today survive in real production, not just demos.
Four production AI systems shipped in 2026: the Agentic AI Playground, the AI On-Call voice agent, a Production RAG Service with hybrid search and reranking, and the Agent Orchestrator multi-agent system.
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.
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// 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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