Mohamed Aouad

About

I am a Deep Tech Consultant and R&D Engineer passionate about solving complex technical challenges at the intersection of quantum computing, artificial intelligence, and applied physics. I thrive on multidisciplinary projects, leveraging my background to adapt quickly to high-level paradigms across software, hardware, and theoretical science.\n\nCurrently, as an Independent Consultant, I partner with founders, researchers, and engineering firms to turn theoretical concepts into validated models and functional prototypes. My recent work spans technical audits for neuromonitoring devices, architectural design for MedGemma-based AI medical pipelines, and mathematical validation for emerging physics frameworks.\n\nMy foundation is rooted in deep tech research. I hold a PhD in Electrical and Electronic Engineering from Université Grenoble Alpes, where my research at CEA-Leti focused on creating cryogenic compact models for quantum technologies, blending machine learning with physics-based modeling.\n\nBeyond academia, I have a strong track record in innovation consulting. At Erdyn Corp, I helped-maintained The Augmented Consultant (an AI-powered tool), managed AWS infrastructure, and authored white papers on quantum tech. To bridge the gap between deep-tech theory and functional products, I also completed an intensive software engineering bootcamp at La Capsule. Today, I use my full-stack capabilities (React.js, Node.js, MongoDB) to rapidly build lightweight, highly functional MVPs that bring advanced R&D concepts to life.\n\nWhether it's validating a mathematical model, offloading post-quantum cryptography to a co-processor, or building a high-frequency trading architecture, I am driven by the belief that solving modern technical bottlenecks requires looking outside single-industry boundaries.

Experience

• Deep Tech and R&D Consultant · Kolabtree11-01-2025 –

  I work at the intersection of advanced engineering and theoretical science, helping founders, researchers, and engineering firms solve complex R&D challenges. I am deeply passionate about cross-disciplinary problem-solving, which is why my portfolio spans multiple cutting-edge fields. Solving modern technical bottlenecks often requires looking outside single-industry boundaries, and my background allows me to adapt to high-level paradigms across software, hardware, and physics.\n\nAs an independent consultant on Kolabtree, I provide architectural design, mathematical validation, expert technical audits, and academic writing for highly specialized deep-tech projects.\n\nMy recent engagements and core focus areas include:\n\n• Artificial Intelligence & Healthcare: Scoping and architecting migrations for domain-specific LLM setups used in medical data processing.\n• Neurotechnology & Bioengineering: Conducting independent technical reviews of wearable EEG prototypes (TRL 6), evaluating signal acquisition, noise modeling, and hardware feasibility prior to industrial manufacturing.\n• Quantum Technologies & Finance: Evaluating and designing High-Frequency Trading (HFT) architectures that leverage quantum-inspired optimization algorithms.\n• Applied Mathematics & Theoretical Physics: Formalizing and validating multi-variable dynamical models, complex operators, stability bounds, and non-linear differential equations for emerging theoretical physics frameworks.\n• Hardware Engineering & Cybersecurity: Structuring and authoring peer-reviewed academic manuscripts on FPGA-based hardware acceleration (e.g., RISC-V co-processors) for post-quantum cryptography algorithms.\n• Rapid Prototyping: Building tightly scoped, highly functional mobile MVPs that prioritize core utility and robust architecture.\n\nMy approach relies on strong fundamentals, disciplined mathematical validation, and translating theoretical concepts into actionable technical specifications.

• Software engineering bootcamp · La Capsule12-01-2024 – 07-01-2025

  Motivated by the need to broaden and modernize my software engineering expertise, I completed an intensive full stack development program, gaining hands-on experience in building web and mobile applications from scratch. Developed expertise in:\n\nFront-end: JavaScript (ES6+), React, React Native\nBack-end: Node.js, Express.js\nDatabases: MongoDB\nAPIs: Design, integration, and optimization of REST APIs\n\nWorked on collaborative projects simulating real-world workflows, applying agile methodologies, Git version control, and best practices in code quality and deployment.

• Application Architect & Innovation consultant · Erdyn Corp.06-01-2023 – 06-01-2024

  At Erdyn, I took on a dual role that combined innovation consulting with managing an AI-driven tool called 'The Augmented Consultant', My responsibilities can be described as :\n* Produced a white paper on quantum technologies.\n* Conducted multiple client innovation projects involving cutting-edge technologies.\n* Worked extensively on maintaining the functionality of an LLM-based web application deployed on AWS cloud infrastructure, with a focus on ensuring component coherence.\n* Designed and implemented automation solutions within the company.

• PHD Researcher · CEA02-01-2019 – 12-01-2022

  During my four years at CEA-Leti, I worked alongside the Quantum Computing project team and within the Modelling and Simulation Lab. My work involved combining semiconductor physics with modeling techniques to create accurate physics-based model, my responsibilities can be described as:\n* Developed and validated a compact model for electronic components at very low temperatures.\n* Conducted Poisson-Schrödinger simulations and developed comprehensive electrostatics and transport models for FDSOI transistors operating at cryogenic temperatures.\n* Developed a strong understanding of various architectures and technologies employed in quantum computer design.\n* Collected and prepared experimental data for model validation using machine learning tools, Python libraries.\n* Troubleshooting and solving issues within the developed model. This involves continuous analyzing of data and connecting the results to physical phenomena.

• Stage en ingénierie · Institut Jean Lamour (IJL)01-01-2018 – 07-01-2018

  The project Involved the elaboration of nanopillars on silicon substrates, utilizing advanced clean room techniques such as lithography, vacuum evaporation deposition, and various annealing processes.

Education

• Université Grenoble AlpesDoctor of Philosophy - PhD, Ingénierie électrique et électronique
• Universite de LorraineMaster's degree, Materials Science

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