Software engineer leads GIGM platform upgrade to boost reliability, security

One of West Africa’s leading intercity transport platforms, GIGM, has completed a major digital overhaul aimed at improving system stability and strengthening security across its booking and payment channels.

The transition, known internally as Mobility 2.0, was finalised in August 2024 following months of backend restructuring. The upgrade came after rapid passenger growth exposed scaling weaknesses that led to booking failures, payment delays and operational pressure during peak travel periods.

At the centre of the transformation is Backend and Security Engineer Ahmed Bello, whose work focused on strengthening the core systems that power customer bookings, trip confirmations and payments.

“Mobility 2.0 was not about adding more features,” said Ishola Toheeb, Senior Backend Engineer at GIGM.

“It was about making the core platform stable under load and secure by design. Ahmed owned the backend pathways that decide whether a customer’s booking succeeds or fails during peak traffic.”

Engineers familiar with the project said Bello introduced structural improvements that delivered more consistent uptime during traffic surges, reduced recurring errors on high-traffic endpoints and enabled faster system recovery through enhanced monitoring tools.

He also redesigned booking confirmation retry logic to reduce user friction, ensuring that temporary service interruptions did not automatically translate into failed transactions.

“Reliability is ultimately a customer-trust metric,” Bello said. “When the backend stays stable under pressure, users keep coming back.”

Beyond reliability, the engineer also addressed growing cybersecurity threats as the platform expanded. According to insiders, the system had faced increased bot activity, account takeover attempts, API probing and transaction manipulation.

To counter this, Bello designed and deployed an ethical-guard machine-learning framework integrated directly into the company’s backend pipelines. The system combines supervised and unsupervised learning models to detect unusual activity in real time while embedding fairness checks and strict privacy controls.

“Security at this scale is no longer just about blocking threats, it’s about building intelligent, ethical systems that protect users without compromising fairness or privacy,” Bello explained.

Colleagues said the framework improved early detection of suspicious activity, reduced false positives that could block legitimate passengers and enabled faster automated containment of potential threats. With the Mobility 2.0 shift, GIGM engineers say the company has moved from reactive firefighting to proactive resilience, positioning the platform for safer and more reliable growth across Nigeria and beyond.