About Saad
🚀 Turning real-world challenges into scalable tech, one line of Python at a time.
💼 I’m leading the tech vision at KubicBits, where we’re building AI-native tools to tackle logistics and transportation inefficiencies across Africa and beyond.
🌍 With a strong foundation across FinTech, PropTech, AgriTech, and now TransportTech, I specialize in translating complex problems into clean, efficient code.
🌙 Outside of work, I’m an open-source contributor and a builder at heart, always down to collaborate, learn, and create.
🤝 Let’s connect if you're into startups, tech innovation, or need a hand bringing your next big idea to life.
Arabic
Native or bilingual
French
Native or bilingual
German
Basic
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- KubicbitsCo-founder & CTOSOFTWARE PUBLISHINGSeptember 2023 - Today (2 years and 9 months)Casablanca, Morocco
- Founded and scaled KubicBits — an AI-native startup building intelligent automation, analytics, and workflow platforms for logistics, mobility, and enterprise operations.
- Designed and deployed conversational and autonomous AI agents powering customer chatbots, workflow automation, CRM updates, and logistics orchestration.
- Developed custom back-office applications and AI agents enabling tailored automation, process orchestration, and integrated analytics dashboards for clients.
- Built modular content systems using Strapi (backend CMS) and Framer (frontend experience builder), seamlessly integrated with CRM and ERP platforms.
- Architected a multi-tenant SaaS infrastructure ensuring secure client isolation, horizontal scalability, and unified data governance across environments.
- Engineered data pipelines and ETL systems with Airbyte, dbt, and Prefect for real-time and batch ingestion from WhatsApp, IoT, ERP, and third-party APIs.
- Led full product lifecycle — from architecture and infrastructure design to deployment and observability — ensuring performance and reliability.
- Recruited, managed, and mentored a multidisciplinary tech team (backend, frontend, mobile, DevOps) and implemented Agile SCRUM for iterative delivery.
- Collaborated directly with enterprise clients to co-design AI-driven workflows, validate product-market fit, and continuously enhance automation and data intelligence.
- YakeeySenior Data Engineer & Technical AdvisorREAL ESTATESeptember 2023 - July 2025 (1 year and 10 months)Casablanca, Morocco
- Advised on core data architecture and AI integration strategies to ensure long-term scalability and resilience across the entire tech stack.
- Partnered with leadership and product teams to translate business goals into robust, intelligent data-driven solutions.
- Led design and architecture reviews, ensuring efficient implementation of modern data pipelines and ML operations.
- Directed advanced data workflows, including automated model retraining, monitoring, and continuous delivery for machine learning systems.
- Mentored engineers and guided teams on best practices in data reliability, system design, and sustainable innovation.
- Oversaw orchestration and observability layers, enforcing standards for data traceability, accuracy, and operational confidence.
- Aligned technical roadmap with business strategy, ensuring every engineering decision contributed to measurable impact and scalability.
- YakeeyData EngineerREAL ESTATEDecember 2022 - September 2023 (9 months)Casablanca, Morocco
- Joined as the first data hire, owning the full data lifecycle — from architecture design to deployment across analytics and AI use cases.
- Built the company’s foundational data stack from scratch, enabling the first internal KPIs, product analytics, and automation capabilities.
- Designed and deployed end-to-end data pipelines delivering both real-time insights and high-performing ML models in production.
- Developed and launched Yakeey’s first AI models, unlocking personalization, data-driven decision-making, and intelligent product features.
- Implemented orchestration and monitoring frameworks with Prefect, ensuring reliable execution, alerting, and system observability.
- Embedded data into core product and growth workflows, transforming raw information into measurable business impact.
- Established best practices in data engineering, governance, and scalability to support future analytics and AI initiatives.
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Education
- Executive Master Degree in Big Data &Université Internationale de RabatExecutive Master Degree in Big Data &
- BS - Software EngineeringFaculty of Science and TechnologyBS