Mohamed Aouad
@mohamedaouad
PhD in Computational Physics, 5+ yrs expertise in Python, CI/CD, DevOps, & quantum.
What I'm looking for
I am a PhD holder in Computational Physics with over 5 years of experience in fullstack development, cloud-native systems, and quantum computing. My expertise lies in building and maintaining scalable web applications using a variety of technologies including Python, JavaScript, Node.js, and AWS. I have a proven track record of delivering production-grade software and contributing to high-impact research publications.
Throughout my career, I have developed multiple web and mobile applications, led teams in agile environments, and optimized cloud infrastructure for performance and scalability. My work as an Innovation Consultant involved enhancing REST API performance and streamlining CI/CD pipelines, which has equipped me with a strong foundation in both development and operational excellence. I am bilingual in English and French, which allows me to collaborate effectively in diverse teams.
Experience
Work history, roles, and key accomplishments
Web & Mobile Application Developer
La Capsule Coding Bootcamp
Dec 2024 - Dec 2025 (1 year)
Developed 7 production-grade web and mobile applications using JavaScript, Node.js, React, and MongoDB, integrating REST APIs for real-time data processing. Led a team to deliver a mobile app MVP, applying SCRUM and agile methodologies.
Innovation Consultant
Erdyn Corp.
Jun 2023 - Jun 2024 (1 year)
Maintained a cloud-native QA web app for scientific articles on AWS, optimizing resources and enhancing REST API performance. Streamlined CI/CD pipelines and supported user interfaces for real-time insights.
Researcher
Jean Lamour Institute
Jan 2018 - Sep 2018 (8 months)
Fabricated silicon nanopillars using electron beam lithography and SEM, optimizing patterns for advanced materials research.
PhD Researcher
CEA-Leti
Feb 2019 - Dec 2022 (3 years 10 months)
Developed cryogenic FDSOI transistor models for quantum device control using Python for simulations and machine learning for optimization. Collaborated with teams to design scalable code.
Education
Degrees, certifications, and relevant coursework
Université de Lorraine
Masters, Condensed Matter and Materials Physics
Grade: Top-ranked
Focused on nanostructure modeling and clean room techniques (lithography, SEM).
Université Grenoble Alpes
PhD, Electrical and Electronic Engineering
Specialized in cryogenic transistor modeling for quantum computing, publishing 5 papers in ScienceDirect and MOS-AK.
Polytechnic Institute of Algiers
Engineering, Materials Science
Grade: Top-ranked
Developed skills in materials physics and computational modeling (C/C++).
Availability
Location
Authorized to work in
Social media
Job categories
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