Backend & Systems Engineer
AI Automation · Scalable Architectures · Python
I engineer backend systems that automate complex processes, integrate intelligent components, and operate reliably at scale.
With a background in Economics and formal qualifications in Computer Science, I bridge strategic business thinking with system-level engineering. My work centers around backend architecture, AI-driven automation, and the design of modular, API-oriented infrastructures built for performance, scalability, and long-term maintainability.
I develop end-to-end systems that connect data acquisition, processing pipelines, machine learning integration, and production-ready APIs into cohesive, extensible architectures.
- Backend & API Architecture (FastAPI / Flask)
- Distributed & Modular System Design
- AI Automation & Agent-Based Systems
- Machine Learning Integration & Deployment
- LLM & AI Chatbot Engineering
- Web Crawling, Data Pipelines & Processing Layers
- Full-Stack Integration (React · TypeScript · Python)
- Linux-Based Development & Infrastructure Awareness
My approach to engineering is systems-first and architecture-driven. I prioritize:
- Scalability by design
- Clear API contracts
- Separation of concerns
- Modularity and extensibility
- Performance-conscious implementation
I focus on building coherent systems rather than isolated features — solutions that reduce operational complexity and deliver measurable impact.
Currently focused on advanced AI automation architectures, intelligent backend systems, and scalable API ecosystems.
Open to: Backend & Systems Engineering Roles · AI Automation Projects · Remote Senior-Level Opportunities · Technical Consulting