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  • Sofia, Bulgaria
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AntonDobrev/README.md

Anton | Systems Architect & Fractional CAO 👋

I design and engineer deterministic, automation-driven ecosystems that connect fragmented software, APIs, and AI into reliable, scalable workflows.

As the Founder and Lead Architect at Laterna, I act as a Forward-Deployed Engineer for scaling e-commerce and digital brands. My background is in heavy backend engineering, but today I focus on process orchestration, AI integration, and systems architecture—helping businesses scale their operations without accumulating technical debt.

🏗️ Core Focus & Architecture

  • API & Systems Integration: Deep bridging of REST, GraphQL, webhooks, and legacy systems.
  • Enterprise Orchestration: Visual node-based logic mapping (n8n, Make.com) backed by custom code for complex edge cases.
  • Cognitive AI Pipelines: Production-ready LLM integrations, autonomous agents, and decision-tree flows (anti-hype, built for actual ROI).
  • Operational Automation: Eliminating manual data entry across CRMs, ERPs, inventory routing, and invoicing.
  • Systems Design: Mapping business logic and diagnosing bottlenecks before writing a single line of code.

I don’t build isolated backend features. I architect ecosystems. My focus is entirely on system interoperability, deterministic data flow, and eliminating operational debt.

⚙️ Background & Engineering DNA

  • 10+ Years of Engineering: E-commerce backend developer, integration engineer, and Senior Technical Support Officer at Progress Software.
  • Backend Foundation: Highly confident with complex failure modes, error handling, rate limits, and secure API routing.
  • End-to-End Ownership: Operating seamlessly between product goals, engineering execution, and non-technical stakeholders (Discovery → Architecture → Deployment → Governance).

This background is why I’m brought in not just to build, but to act as a Fractional CAO who dictates the right structural approach first.

🧠 Current Research & Interests

  • 🧩 Event-Driven Architecture: Scalable orchestration patterns for high-volume workflows.
  • 🤖 Private AI: Secure, GDPR-compliant AI use cases for internal operational efficiency.
  • ☁️ Serverless Infrastructure: Highly available, low-latency execution.
  • 📝 Invisible Architecture: Making complex systems understandable, operable, and fully documented for the end-user.

"I use code where it adds leverage — not for its own sake."

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