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Malik5547/README.md

Hi there, I'm Petru 👋

Full Stack Developer | Next.js & NestJS Specialist | Available for Contract Work

I am a software developer with 1.5+ years of commercial experience (Agency & Freelance) building scalable, high-performance web applications. I specialize in the modern React ecosystem and scalable backend architectures. I focus on solving business bottlenecks—like reducing API latency and engineering multi-tenant databases.

Currently in my final year of Computer Science and available for part-time remote contract work (20h/week).

📫 Reach me at: petru.balan.54@gmail.com | LinkedIn | Portfolio: petrubalan.com

💻 Tech Stack

Frontend: Next.js React TailwindCSS

Backend & Database: NestJS Express.js MongoDB Prisma

Also experienced in: Python, PyTorch (Machine Learning / Computer Vision)

🚀 Featured Case Studies (Commercial Work)

Because my commercial work is under NDA, I have documented the architectural challenges and performance optimizations I implemented in these technical case studies:

  • 🏢 AquaSwim Multi-Tenant SaaS Architecture
    • Role: Full Stack Developer
    • Result: Engineered a role-based access control (RBAC) system and a real-time conflict-resolution engine to scale the platform across 10 distinct franchise locations.
  • 🏊‍♂️ Swimming School Platform Optimization
    • Role: Lead Backend Refactor
    • Result: Reduced API latency by 90% (1.23s → 0.12s) by replacing linear scans with cursor-based pagination and compound indexing.

(Check out my pinned repositories for more info).

🌍 Current Status & Availability

  • 🎓 Finishing my CS Degree
  • 💼 Open to remote contract or part-time roles. As a student, I offer a highly flexible schedule.

Pinned Loading

  1. swim-school-management-system swim-school-management-system Public

    A multi-tenant SaaS for managing 10+ swim school locations. Built with Next.js, Node.js, and MongoDB. Features smart scheduling and RBAC.

  2. high-performance-mongodb-refactor high-performance-mongodb-refactor Public

    A technical case study on optimizing a SaaS data layer. Reduced API latency by 90% (1.2s → 0.12s) using MongoDB Compound Indexes and Cursor-Based Pagination.

  3. nextjs-steam-redesign nextjs-steam-redesign Public

    A cross-platform desktop client for Steam built with Tauri, Next.js, and Tailwind. Pixel-perfect implementation of Juxtopposed's concept.

    TypeScript