Software Engineer | Full-Stack Development β’ Backend Engineering β’ AI
Computer Science and Engineering graduate from Politehnica University of Bucharest (2026).
Previously a Software Defined Vehicle Intern at MHP β A Porsche Company, working on Java-based automotive infotainment software.
Chartbuilder β AI-Powered Data Visualization SaaS
Full-stack SaaS that transforms natural-language requests and uploaded datasets into interactive, editable charts.
- LLM integration with structured outputs, dataset-processing tools, and prompt-safety checks.
- Authentication, PostgreSQL persistence, Redis rate limiting, and credit-based billing.
- Automated testing, monitoring, and data visualization with ECharts.
Stack: Next.js TypeScript React PostgreSQL Supabase Redis OpenRouter Docker
Divario β Real-Time Collaboration Platform
Collaborative workspace for documents, canvases, and teams. Developed as my bachelor's thesis.
- Real-time document and canvas synchronization through WebSockets.
- JWT authentication, role-based access control, organizations, and document versioning.
- Independent document-integrity verification using SHA-256 and Solidity smart contracts on Ethereum Sepolia.
Stack: Next.js React FastAPI Python PostgreSQL WebSockets Solidity
Source Code Β· Bachelor's Thesis
Stowspace β Cross-Platform Content Library
A personal knowledge and content management application spanning Windows, Android, and browser extensions.
- Local-first content storage, organization, and search.
- Windows desktop application using Tauri, Rust, and React.
- Android application using React Native and Expo.
- Browser extensions built with WXT, integrating with the desktop application.
Stack: Tauri Rust React React Native TypeScript SQLite Supabase Cloudflare R2
Zrima β Native iOS Daily Planner
Visual daily planner built with SwiftUI, featuring timeline scheduling, recurring tasks, reminders, and native Apple integrations.
Stack: Swift SwiftUI SwiftData iOS
Traceback β AI Engineering Knowledge Platform
In development
Java-based backend platform for technical incident management and AI-assisted investigation, with planned RAG, semantic search, MCP integrations, and cloud infrastructure.
Current stack: Java Spring Boot PostgreSQL Spring Data JPA Flyway JUnit Testcontainers
- Windows Log Anomaly Detection β 1st Place, EESTEC Olympics 2024 Main Challenge (Bitdefender). Machine-learning-based anomaly detection in Windows system logs.
- AeroRead β Desktop reading application for EPUB, PDF, and Markdown, built with Tauri and React.
- Silent Autopost β Python automation tool for generating and publishing YouTube Shorts.
Additional achievements include 1st Place at EESTEC Olympics Side Challenge (2023) and 4th Place at the Operating Systems Hackathon (2023).
Languages: Python, Java, TypeScript, C++, SQL
Frontend & Mobile: React, Next.js, React Native
Backend & Data: Spring Boot, FastAPI, PostgreSQL, Redis, SQLite, Supabase, REST APIs, WebSockets
AI: LLM APIs, OpenRouter, structured outputs, prompt engineering
Infrastructure & Tools: Docker, Linux, Git, GitHub




