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AI Engineer with 3+ years in Quality Assurance & AI/ML Testing
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Highly skilled Al & Product Quality Engineer with 3.1 years of experience in testing AI/ML systems, designing behavioral test strategies, and leading quality assurance efforts. Proven ability to reduce regression cycle time, identify critical defects, and coordinate cross-functional teams to ensure high-quality product releases. Expertise spans AI/ML testing, test automation, API/DB testing, and data analysis to drive product excellence.
Arab Academy for Science, Technology and Maritime Transport
BSc · Software Engineering
August 1, 2020 – June 30, 2024
Collège Saint-Marc
High School Diploma
June 1, 2006 – May 31, 2020
Snoonu
Middle Quality Assurance Engineer 2
November 1, 2025 – Present
India
inDrive
Software Quality Assurance Lead Engineer (Geo SuperApp Experience)
July 1, 2025 – November 1, 2025
India
inDrive
Software Quality Control Engineer (Quality Operations)
November 1, 2024 – June 1, 2025
India
uTest (Applause)
Software Test Engineer
July 1, 2023 – December 1, 2024
India
Arab Academy for Science, Technology & Maritime Transport
Research Assistant
July 1, 2023 – October 1, 2024
Alexandria, Alexandria Governorate, Egypt
uTest (Applause)
Software tester
March 1, 2022 – June 1, 2023
India
AWS Cloud Practitioner Essentials
Unknown
June 1, 2026 – Present
ISTQB - Foundation Level
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (Snoonu, inDrive, uTest) and roles, including a research assistant position, indicates adaptability and a willingness to engage with different organizational cultures and technical challenges. Their work on AI/ML systems, geo-services, and various consumer products demonstrates a broad technical interest. The progression from Software Tester to Middle Quality Assurance Engineer and Lead Engineer roles, coupled with an ISTQB certification, shows a commitment to professional growth and a structured approach to quality. The candidate's experience with remote work and distributed teams suggests they can thrive in flexible work environments. The target role of 'AI Engineer' is a slight pivot from their primary QA focus, but their recent experience in AI/ML QA and research assistant role provides a relevant foundation.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their detailed descriptions of identifying inconsistencies in personalization logic, reducing production defects, and accelerating root cause analysis. Their experience in coordinating UAT cycles and collaborating with cross-functional teams indicates good teamwork and communication. The ability to standardize QA documentation and lead automation efforts suggests a proactive and organized approach to quality operations. The candidate's experience across various industries (e-commerce, fintech, entertainment) and with remote teams highlights adaptability and operational flexibility.