Injy ElSherbini

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deep learning • computer vision • data engineering • mlops • deep learning • computer vision • data engineering • mlops •
quantum computing • .net backends • distributed data • research • quantum computing • .net backends • distributed data • research •

Cairo, Egypt

Hi, I'm Injy ElSherbini

An AI Engineer & Software Developer turning research-grade models into systems that actually ship.

3.7GPA, with Honor
Top 500AWS AI & ML Scholars
C2English
Injy ElSherbini
Python PyTorch TensorFlow C# / .NET Docker Kubernetes Spark SQL Qiskit
Injy ElSherbini

More than models

AI
Engineer

  • Deep learning
  • Computer vision
  • Data engineering
  • Quantum computing

2+Years

Building in AI

About Me

I'm Injy — a Computer Science graduate of Mansoura University (Excellent with Honor, GPA 3.7) who builds AI systems that survive contact with production.

My work sits where research meets engineering. I train deep learning models for vision and healthcare data, then take responsibility for the unglamorous half: the API, the container, the deployment, the monitoring. A model that only runs in a notebook hasn't solved anything yet.

Today I'm a Software Engineer at Measuresoft, shipping web systems on .NET and SQL with real-time data analysis. Before that I trained with Ericsson and ITI, interned in AI at the National Research Center, and earned a place among the top 500 AWS AI & ML scholars worldwide.

Quantum computing is my long game — Qiskit, variational classifiers, quantum key distribution. I like problems that don't have an answer yet.

15+

Certificates & Programs

3

National Awards

My expertise includes:

Deep learning for vision & healthcare data

Model deployment with FastAPI, NGINX & AWS

.NET & SQL backends with real-time analysis

Distributed data with Apache Spark & PySpark

Containerisation with Docker & Kubernetes

Quantum algorithms & Qiskit prototyping

Contact Me
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Certificates & badges

Let's build something

Research collaborations, AI engineering roles, or a problem nobody has cracked yet — I'd like to hear about it.