Moaz bin Mokhtar

ZinZen Scheduler

Stack: Rust

• Contributed to the calendar scheduling engine
• Debugged and refactored core scheduling algorithms
• Implemented new features within a large existing Rust codebase

Cybertron (AI Platform)

Stack: Python, React

• Contrinuted to building backend and frontend modules for an AI-powered automotive platform

Psychometrica

Stack: Next.js, PlanetScale, Strapi

• Implemented full-stack features for a psychometric assessment platform
• Fixed critical bugs and optimized rendering performance
• validate DB data content

Civi (Government Data Scraper)

Stack: Python

• Built a PDF table scraper to extract structured political data
• Designed pipelines for US government data sources

RustDesk Customization

Stack: Rust

• Running RustDesk on Windows, and Ubuntu
• Enhance Readme related to RustDesk specially about running it

• Built Rust backend systems and REST APIs for multiple clients
• Designed and maintained React / Next.js web applications
• Delivered Rust freelance projects on Upwork
• Authored "Become a Rust Backend Engineer" course on MasteringBackend

• Participated as a full-stack developer using React, NextJs, PlanetScale, Stripe, etc.

• Built features across React, React Native, and Python backends
• Implemented full-stack modules for Psychometrica and Cybertron platforms
• Contributed to AI-powered automotive platform with Remix and Next.js

• Built a custom PDF scraper for extracting structured data from government sources
• Implemented scraping pipelines in Python for governmental datasets

• Participated in a microservices system using Python
• Implemented gRPC services and Dapr-based orchestration
• Experimented API integrations

• Participated in development for License Management Server in Rust
• Built a mock-data generator for internal testing
• Designed bulk-insertion functions and ran performance benchmarks on AWS EC2

• Provided technical support for Etisalat UAE customers
• Led service-recovery initiatives during the final four years