Full Stack Software Engineer | Backend & DevOps Focused
🇮🇹 IT (B1) • 🇬🇧 EN (Fluent) • 🇹🇷 TR (Native) 📍 Padova, Italy
Backend-first engineer with a high-performance Frontend edge. I build scalable APIs and production-ready infrastructures while maintaining a strong eye for UI/UX integrity and complex frontend architectures.
Sviluppo architetture Full Stack con un forte orientamento al Backend e DevOps. Realizzo API robuste, ottimizzo database e gestisco infrastrutture CI/CD (Docker, K8s, Terraform). Nonostante il mio focus sistemistico, possiedo competenze avanzate nel Frontend (React/Next.js), che mi permettono di curare l'intero ciclo di vita del prodotto, garantendo performance e design di alto livello.
Core Stack: Ruby on Rails • Node.js • Python (FastAPI/Flask) • React • DevOps (IaC)
Full Stack Engineer specializing in Backend systems and Cloud Infrastructure, but with a deep expertise in Frontend engineering. I don't just "step into" Frontend; I build complex, responsive, and state-heavy web applications that connect seamlessly with the high-concurrency APIs I design. Comfortable managing the entire pipeline, from Terraform scripts to React hooks.
Expertise: API Design • SQL Optimization • CI/CD & Cloud Native • Advanced Frontend Logic
- Robust Backend Foundations: REST/GraphQL APIs, Background Processing, and Service-Oriented Architecture.
- Advanced Frontend Engineering: Building complex dashboards (like Recruit HQ) with refined UI/UX and efficient state management.
- Infrastructure as Code (IaC): Automating deployments with Docker, Kubernetes, and Terraform to ensure 99.9% uptime.
- Quality Assurance: TDD/BDD approach with comprehensive Unit and Integration testing across the stack.
- Agile Leadership: Peer code reviews, system design, and technical mentorship.
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An AI-powered Active Capture system for high-fidelity 3D Head Avatars. Uses real-time pose guidance and 3D Gaussian Splatting to transform standard webcam feeds into animatable digital twins. View Project → |
A deep learning approach to detecting adaptive steganography in JPEG images using the ALASKA2 dataset. Built with PyTorch. View Project → |
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Full-stack recruitment portal featuring automated candidate pipelines, job management, and real-time tracking. View Project → |
Financial fraud detection engine utilizing machine learning [XGBoost/RandomForest/LSTM] to identify suspicious patterns in transaction data. Built with Python and Scikit-Learn. View Project → |
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A smart logistics toolkit for last-mile delivery optimization. Features include real-time route planning, multi-stop delivery sequencing, and load balancing to ensure faster delivery times. View Project → |
An asynchronous IoT monitoring backend built with FastAPI. Designed to ingest, process, and serve real-time sensor data through high-performance RESTful endpoints, leveraging Python's asyncio. View Project → |
