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Samer Hany

About

Complex work needs software that understands the work.

Your process may be difficult to explain because it has grown around expert judgment, technical calculations, exceptions, and tools that were never designed to work together.

The main risk is ending up with a working application built on an incomplete understanding of the process. That is how valuable logic gets lost and problems appear only after other people depend on the system.

I work as the technical partner between those two worlds: learning how the work is actually done, making the hidden logic explicit, and turning it into software your business can depend on.

The bridge this practice is built around

  1. 01

    Real process

    Expert judgment, calculations, and exceptions

    then

  2. 02

    Accurate model

    The relationships and rules made explicit

    then

  3. 03

    Production software

    Web apps, automation, data, and AI

    then

  4. 04

    Business control

    Tested outputs, editable rules, and ownership

The unusual part is not any single technology. It is carrying technical meaning from the working method into a system people can safely use.

An engineering approach to business software

Before I built business software, I focused on writing engineering software: mathematical models, simulations, and optimization tools for complex physical systems.

That work required finding the relationships that matter, representing them accurately, and proving that the output can be trusted. The same discipline now serves projects where a quote, assessment, recommendation, or report depends on getting complicated business logic right.

Teaching engineering at Cairo University added another useful skill: understanding what someone is trying to explain even when we do not share the same vocabulary. Years of domain knowledge should not need translating into developer language before the system can be understood.

What this means for your project

A difficult system rarely belongs to one discipline. Keeping the important parts under one technical direction means:

  • Technical calculations are modeled and tested before they become application logic.
  • Formulas, macros, validation, and the rules inside complex spreadsheets are understood rather than treated as a flat data import.
  • Web applications and internal platforms are designed around the people doing the work, not around the shape of the database.
  • Automations and integrations move information between the tools your team already relies on.
  • Data analysis and reporting produce numbers people can trust and act on.
  • AI is used where interpretation helps, with conventional software and human approval protecting the parts that should stay deterministic.

This is especially useful when your process contains advanced calculations, depends on undocumented expertise, or has already defeated a more conventional development approach.

Your context stays with the work

Complex projects lose time and accuracy when the person who understood the brief disappears before implementation begins. I work on a small number of projects at a time so the same technical context can stay with the work.

You work directly with the same technical partner from the first conversation through system design, implementation, launch, and support. There is no sales-to-delivery handoff where your team has to explain the process again.

That continuity makes it easier to challenge an assumption early, resolve a technical tradeoff quickly, and keep accountability on the working system rather than a list of completed features.

Evidence you can check

Selected testimonials should not be the only evidence available. The original independently verified review record from a top-1% Fiverr Pro profile and Upwork Top Rated Plus, a status held by the platform's top 3% of performers, remains public. It includes the difficult projects and long-term working relationships behind it.

That gives you a record to inspect before trusting a technical partner with a process your business depends on.

See the verified track record

Technical depth you can verify

When a project crosses engineering, software, data, cloud systems, and machine learning, the required technical depth should be inspectable. The formal education and credentials below are included so you can check it.

  • MSc Chemical Engineering, Cairo University

    Useful when your software has to reproduce a complex calculation or model accurately enough for the business to trust the result.

  • BSc Chemical Engineering, Cairo University

    The mathematical and systems-thinking foundation used to understand the process before choosing the technology that will implement it.

Every credential shown here carries a public verification link.

View all verified credentials

Elsewhere

Cairo, Egypt. Working with teams in the US, UK, Europe, and Australia.

Have a process that has become difficult to run or scale?

Describe what starts the work, what happens next, and where it becomes frustrating. That is enough to start.

Describe your process