Nabil Mouchawar

• Led end-to-end applied AI product development for a
cloud-based investment intelligence platform integrating
machine learning, and quantitative finance
• Defined and delivered AI-powered product capabilities,
including predictive modeling, portfolio optimization, and
automated trading recommendations across 4, 000+ equities.
• Designed and implemented ML pipelines and model
lifecycle workflows (data ingestion, feature engineering,
training, validation, deployment) in collaboration with data
science teams.
• Built intelligent decision systems aligned with agentification
principles, enabling scalable portfolio strategy execution.
• Translated complex financial and market challenges
into scalable AI-driven product solutions, improving
prediction accuracy to 60-70% weekly performance when
combined with quantitative models.
• Partnered with engineering, product, and business
stakeholders to prioritize features and drive product delivery
aligned with strategic goals.
• Delivered measurable outcomes including ~25%
improvement in model-driven alpha generation and
increased platform adoption among institutional users.

• Owned product strategy from ideation to launch, managing
contract negotiations, technical architecture, and full SDLC for
high-impact mobile and e-commerce platforms.
• Directed global engineering teams to deliver flagship product
launches with CashU mobile wallet - at the time, a Souq.com
subsidiary, CashU wallets served 3.2 million users.
• Designed and enforced scalable architecture standards to
support high-availability e-commerce and analytics-driven
seller ranking systems.
• Led end-to-end software development programs for complex
technology initiatives, ensuring on-time delivery of high
quality, compliant software. Coordinating deliverables across
geographically distributed teams, managing dependencies,
risks, and resources across global R&D centers.
• Fostered an agile culture to enable rapid iteration, faster
releases, and defined KPIs to track progress, quality, and
delivery success.

• Directed software innovation strategy for diagnostic and
remote patient care solutions, integrating clinical research
with engineering for regulated medical devices.
• Acted as primary liaison between technical teams and non
technical stakeholders at the executive level, translating
technical concepts into business value. Partnered with R&D
leadership to prioritize features based on clinical value,
technical feasibility, and regulatory impact
• Led multi-disciplinary teams in the enterprise architecture,
design, and development of cardiac monitoring and ischemia
detection systems in compliance with IEC, ISO, and quality
standards.
• Owned the product roadmap and scaled remote patient
monitoring systems to process 100K+ patient records
daily while maintaining high reliability in service connectivity
and platform security.
• Architected a Java-based distributed framework, improving
scalability, maintainability, and reusability. Successfully
unified messaging, persistency and business process
workflows seamlessly across subsystems. Abbot engineers
still utilize it for development 20+ years since inception.
• Mentored managers and engineers, fostering a culture of
accountability, innovation, and cross-functional collaboration.