AI && Data Engineer | Backend & Systems | Building real-world solutions with data and intelligent systems
I am a software developer focused on AI systems, backend engineering, and data-driven architectures.
My main interest lies in building intelligent systems that solve real problems — from backend platforms to AI-powered workflows and agent-based architectures.
I enjoy working close to the system level: APIs, databases, performance, automation, and integrating AI into production-ready environments.
Currently, I am deeply focused on:
→ AI Agents & LLM-based systems
→ Data pipelines & backend architecture
→ Scalable microservices & cloud environments
→ Applying AI to real-world products
RehabiAPP
Full ecosystem for medical rehabilitation combining backend systems, mobile app, AI-ready data architecture and gamification.
Built with Java (Spring Boot), PostgreSQL, React Native, Unity and AWS infrastructure.
Focus on security (AES-256, RBAC), compliance (GDPR), and scalable architecture.
DataSocial
Graph-based social network using Neo4j for relationship modeling and intelligent recommendation systems.
Backend with Node.js + TypeScript, analytics with MongoDB, deployed with Docker.
MatchFP (AI Project)
AI-powered platform to match students with companies using competency analysis (hard + soft skills).
Includes data processing, intelligent matching algorithms and applied AI for employability.
+ Neo4j (graph data) · SQL design · data pipelines (Python)
AI Agents · LLM orchestration · Tool usage · Memory systems · Evaluation & iteration
⚡ Focused on real-world AI systems: not just prompts, but architecture, reliability and iteration.
+ CI/CD · scripting
→ I build systems, not just features
→ I focus on understanding problems deeply before coding
→ I use AI as a tool, not as a crutch
→ I iterate fast, test ideas, and refine based on results
→ I care about clean, maintainable and scalable code
I am especially interested in AI Engineering, Data Systems and Backend Architecture.
If you're working on complex problems involving data, AI or scalable systems — we will probably get along.