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GrecuAlexandru/README.md

Alexandru Grecu

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 – A Porsche Company, working on Java-based automotive infotainment software.

LinkedIn Β· Email


Featured Projects

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

Source Code


Other Projects & Achievements

  • 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).


Technical Skills

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

Pinned Loading

  1. silent_autopost silent_autopost Public

    Python script that automatically creates a short video and posts it on Youtube Shorts

    Python 27 10

  2. ml_win_logs_anomalies ml_win_logs_anomalies Public

    Machine Learning - Detection of Anomalies within Windows System Logs

    Python

  3. divario divario Public

    TypeScript

  4. traceback traceback Public

    Java