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Aya HassanAH
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Aya Hassan

@ayahassan

I build resilient Python test frameworks and CI for distributed systems.

Egypt
Message

What I'm looking for

I'm looking to build and own reliable test automation and CI for complex systems, especially where exploratory testing, source-code investigation, and distributed-system validation can uncover meaningful defects.

At IFT, I own end-to-end validation for the Waku/Logos distributed messaging node, building Python automation frameworks, stable abstraction layers, and Docker-based CI from the ground up.

I bring 7+ years across IFT and Valeo, combining exploratory testing and source-code analysis with Python, C/C++, CI/CD, and distributed-system testing to turn unclear failures into reproducible root causes.

Experience

Work history, roles, and key accomplishments

IS
Current

Software Test Engineer

IFT (Status)

Sep 2024 - Present (2 years)

Designed and built Python test automation frameworks from scratch for the Waku/Logos distributed messaging node, including test runners, fixtures, configuration handling, and reporting. Owns end-to-end suites for Go and Python bindings, cross-binding interoperability, and CI test strategy with Docker-based infrastructure.

VA

Senior Software Test Engineer

Valeo

Jul 2019 - Sep 2024 (5 years 2 months)

Built the unit test environment for the entire project from the ground up, establishing the foundation for ongoing code quality. Developed and maintained Python automation scripts for verification and CI workflows, plus CAPL and batch scripting, and owned dedicated CI stages.

Education

Degrees, certifications, and relevant coursework

II

Information Technology Institute (ITI)

Post Graduate Diploma, Information Technology

2018 - 2019

Full-time scholarship covering systems programming, deep learning, and advanced courses in Linux, Python, C, C++, and scripting.

BU

Benha University

Bachelor of Science, Computer Engineering

2013 - 2018

Grade: Excellent

B.Sc. in Computer Engineering with key courses in Operating Systems, Compilers, Data Structures, Networks, and Deep Learning. Graduation project graded Excellent.

Tech stack

Software and tools used professionally

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