Mohammad Moshawrab, Ph.D. Comp. Eng.

AI Architect and Applied Machine Learning Scientist specializing in enterprise AI systems, distributed machine learning, and privacy-preserving AI architectures. Experienced in leading AI-driven transformation initiatives and translating advanced research into scalable enterprise capabilities across logistics, supply chain, healthcare, and operational intelligence environments. Strong background in federated learning, secure AI, intelligent automation, and scalable system architecture, with a proven ability to bridge research, engineering, and product innovation to deliver practical and impactful AI solutions.

AI Architect - JobRivals - Bromma, Sweden

(2025-06)

• Lead and execute the ML architecture, modeling, and integration outlined in the Specs Documentation
• Collaborate closely with team members to align on feature design, data integration, and system behavior
• Deliver key modules including the candidate/employer feedback engines, personality matching systems, and scoring systems
• Ensure all models are explainable, secure, and ethically constructed in line with the JobRivals mission

Full Stack Developer - Mediterranean Shipping Company - Montreal, QC, Canada

(2023-05)

Spearheaded enterprise AI transformation initiatives across MEDLOG's operational ecosystem, identifying opportunities for intelligent automation, AI-driven decision support, and advanced analytics within large-scale logistics and supply chain environments. Architected and developed enterprise-grade operational platforms integrating distributed business workflows, transportation operations, tracking systems, and data-driven services across multiple organizations within the MSC Group. Designed scalable backend and data architectures supporting high-volume enterprise operations, with strong emphasis on maintainability, integration reliability, security, and operational performance.

Collaborated cross-functionally with technical and business stakeholders to translate complex operational challenges into scalable software and AI-enabled solution architectures.

• Contributed to the exploration and integration of AI capabilities into enterprise systems, including workflow optimization, intelligent processing, operational visibility, and automation-oriented initiatives.
• Led the development of scalable APIs, enterprise integrations, and operational intelligence platforms enabling real-time access to critical logistics and transportation data.
• Conducted technical and non-technical training sessions focused on enterprise systems, operational workflows, AI enablement, and technology adoption initiatives.
• Participated in shaping long-term AI and technology modernization initiatives aimed at enhancing operational efficiency, intelligent decision-making, and scalable digital transformation capabilities.

Backend Developer - Centre de Recherches Interdisciplinaires en Etudes Montréalaises (McGill University) - Montreal, QC, Canada

(2021-04 - 2023-03)

• Contributed to the architecture and development of large-scale data and analytics platforms supporting social and operational intelligence initiatives within a research-driven environment.
• Designed and developed scalable distributed backend services using .NET technologies, Microsoft Orleans, and modern cloud-oriented architectural patterns.
• Collaborated on system architecture decisions involving scalability, distributed processing, data integration, and long-term platform maintainability.
• Developed enterprise-grade platform capabilities leveraging .NET Core, Blazor, Razor, JavaScript, MySQL, and distributed systems technologies.
• Worked closely with multidisciplinary teams to transform research and operational requirements into scalable and maintainable software solutions.

Artificial Intelligence & Machine Learning Researcher (Intern) - Institut Technologique de Maintenance Industrielle - Rimouski, QC, Canada

(2022-04 - 2022-11)

• Conducted different research topics in Machine Learning domain in the field of connected and smart health
• Developed different smart Machine Learning models for the prediction of Cardiovascular Diseases using the Heart Rate Variability data. Models developed outperformed the state-of-the art existing models
• Conducted a study on the digital parameters and devices in use to detect occupational physical fatigue
• Published two articles about the above-mentioned topic within the period of the internship

Teaching Assistant - Université du Québec à Rimouski - Rimouski, QC, Canada

(2022-01 - 2023-09)

• Played a pivotal role in managing courses, delivering lectures, and preparing courses presentations
• Taught courses to both Master's and Bachelor's students, fostering their understanding of complex topics and contributing to their academic growth and development

Founder and Owner - iBits - Sarafand, Lebanon

(2018-08 - 2020-11)

Founded and led a technology startup focused on designing and delivering enterprise software solutions across operational, logistics, healthcare, educational, and municipal domains. Architected scalable business platforms including point-of-sale systems, clinic management solutions, cargo and transportation systems, educational platforms, and operational data management solutions. Led end-to-end solution architecture, product development, customer engagement, and technology strategy across multiple concurrent projects and business environments.

Managed and mentored development teams while establishing scalable engineering practices, solution delivery workflows, and client-focused implementation strategies. Collaborated directly with organizations and business stakeholders to transform operational challenges into practical and scalable digital solutions. Drove the design of integrated operational systems emphasizing maintainability, scalability, usability, and real-world business impact.

Successfully expanded the company's client base across Lebanon within its first year of operation through delivery of customized enterprise technology solutions. The startup was closed after the eco

Application Administrator - Phoenicia University - Sarafand, Lebanon

(2015-06 - 2018-06)

• Managed and modernized enterprise operational and academic systems, leading custom software integrations and reporting initiatives across institutional platforms.

Information Technology Instructor - Al Masar Institute - Al Ghazieh, Lebanon

(2014-09 - 2015-06)

• Delivered technical instruction across software development, databases, and IT systems courses.

Information Technology Specialist - Amal Educational Institutions (Shoumran High School) - Al Baysaryeh, Lebanon

(2011-02 - 2015-06)

• Managed institutional IT infrastructure and contributed to the development of an Educational Management System using Oracle APEX and SQL, supporting academic operations, system reliability, and day-to-day technical needs.

Doctorate - Computer Engineering - Université du Québec à Rimouski (2020-09 - 2024-07)

Master of Science - Computer Science - Beirut Arab University (2013-09 - 2017-05)

Bachelor of Science - Computer Science - Islamic University of Lebanon (2008-09 - 2012-07)