Bishoy Maher

A React-based public transport data collection tool built at Transport for Cairo. This tool is part of a larger suite called RouteLab.

Our primary goal was to shorten the feedback loop between data capture and data validation through the following:

• Providing timely, accurate KPIs on short-term (daily) and long-term (project) scales.
• Surfacing potential errors in captured data automatically, such as illegal use of mocking applications or invalid GPS traces.
• Providing controls for field parameters—geofencing, time-bounding, disabling particular trips—to complete the project on time and within budget.

This dashboard and its accompanying mobile application help us collect and monitor our researchers' performance, ensure our project's survey targets are met, and provide each stakeholder with relevant metrics at a glance.

I oversaw the design and development of Observer's front-end experience for web and mobile. It is battle-tested in metropolitan projects across developing cities in Africa, including Cairo, Egypt; Kampala, Uganda; and Accra and Kumasi, Ghana.

A React-based web app for turning raw GPS data into valuable, actionable insights.

This application ensures that data collected using RouteLab Observer is valid and standardized—raw GPS points are clustered into suggested hotspots. Traces are matched to the underlying base map to remove all GPS noise for a clean route. RouteLab Snapper is a critical part of the data pipeline enabled within RouteLab. It produces valid data that can be transformed into a high-quality GTFS feed—the industry standard format used in journey-planning and urban mobility planning applications.

I was the front-end lead for design and implementation. I liaised with the back-end developer to offload expensive computations onto microservices that can be instantiated as needed. The application was my first foray into WebGL, which has enabled the visualization of thousands of data points simultaneously while staying performant (around 60 FPS).

We measured a 40% increase in the speed and efficiency of the data validation process upon completion and deployment of the tool to a project in Kampala, Uganda.

A React-based web application that delivers a completely re-imagined workflow stemming from interviews conducted with medical professionals in the market. After understanding their core needs—efficient treatment planning and effortless insights into clinic operations—we researched, iterated, and delivered precisely that.

Approached with frustrations about the state of dental practice management tools in the Egyptian market, my friend was in the middle of setting up his clinic and didn't feel like any of the solutions on the market met his exact needs. He was hell-bent on finding a solution, even if he had to build it himself.

Over 15 months, we collaborated and went from idea to design and execution. I handled the branding, UX, and UI design for four core modules:

1. Treatment planning made more intuitive than ever before.
2. Powerful automated reports sent to their dashboard, helping dentists improve their clinic operations from day 1.
3. Separate workflows for medical professionals and supporting staff, allowing doctors to focus on patient care and distributing tasks to everyone else.
4. Lab workflows that ensure accountability from mouth impression to delivery.

An MVP that I developed as a one-person team working directly with the client. I collected and defined project requirements, designed the software, and delivered a high-quality product.

Initially, the requirements for a basic MVP were predetermined, but as the project progressed, we collaboratively defined the scope and requirements for a 2nd version. Our primary objectives included the following:

• Implementing an authentication layer using Auth0.
• Deploying the service on AWS.
• Designing a responsive front end to present and facilitate easy analysis of thousands of collected geospatial and temporal data.

DELIVERABLES
We produced a secure front end integrated with AWS to efficiently retrieve and display near-real-time location information through various engaging data visualizations. Key features include:

• GPU-accelerated data analysis using a custom-configured Kepler.gl instance embedded into the application.
• Animated map, powered by Deck.gl, for seamless position updates.
• Fully-documented scalable architecture ready for further development.

This project allowed the client to elevate his side-project concept to a polished state suitable for initial market testing.