Engineering Excellence

Luminous Labs

High-performance software solutions. From embedded automotive systems to intelligent web automation and custom full-stack architecture.

Engineering Background

From safety-critical automotive systems to scalable digital architecture.

By day, I am an Embedded Software Engineer at General Motors, where I specialize in developing and validating mission-critical software for vehicle ECUs. In an industry where there is zero margin for error, I’ve honed a disciplined approach to code quality, testing, and system architecture.

Through Luminous Labs, I apply that same engineering rigor to the freelance world. Whether it's building complex web automation engines or developing high-performance full-stack applications, I focus on creating software that isn't just functional, but resilient and future-proof.

- AHMAD ANANI, FOUNDER AND LEAD ENGINEER OF LUMINOUS LABS

Technical Capabilities

Web Automation & Scraping

Custom-built Selenium & Python engines to extract high-value data from dynamic platforms.

Embedded Systems & Controls

Leveraging 6+ years of automotive engineering expertise to build robust, safety-critical software architectures.

Custom Web Solutions

Scalable Next.js applications designed for performance, SEO, and seamless user experiences.

Cybersecurity Testing

Proactive vulnerability assessment and automated testing to ensure your digital assets remain secure.

Featured Projects

A selection of technical solutions built at Luminous Labs, ranging from automation scripts to embedded architectures.

Web Automation

Automated Intelligence Scraper

Built and maintain a high-scale Selenium engine to extract and normalize job market data from LinkedIn and Glassdoor for recruitment analytics.

PythonSeleniumPyQt UI
Embedded Systems

Real-time Controls Interface

Specializing in the development and validation of safety-critical software for vehicle ECUs, ensuring robust performance within complex automotive architectures.

C/C++CAN/LINEthernet
AI & Automation

Autonomous Web Remediation Engine

Developed a self-healing automation framework using local Llama 3.2 models to dynamically parse DOM structures and recover from XPath/CSS selector failures in Selenium pipelines.

OllamaPythonFastAPI

Let's Build.

Ready to automate your workflow or build a custom software solution? Reach out for a technical consultation.

contact@luminouslabs.dev
Metro Detroit, MI