hamza missaoui

Led the evolution of AI SaaS products from single-turn chatbots to autonomous multi-agent systems with self-correction and error-recovery
mechanisms.
Owned end-to-end delivery of AI SaaS solutions as technical lead — requirements analysis, architecture, development, and production
deployment.
Directed design and delivery of scalable AI inference APIs and asynchronous microservices supporting high-throughput, concurrent
workloads.
Industrialized GenAI systems using LLM validation pipelines and multi-agent workflows (LangGraph, LangChain), improving output reliability
and reducing manual QA effort.
Partnered directly with business stakeholders to identify high-value AI use cases and translate them into prioritized technical roadmaps.

Engineered low-latency multimedia broadcasting modules and orchestration pipelines for LED screens.
Automated content processing, reducing execution times by 90%.
Enhanced MongoDB performance and implemented real-time notifications.

Led delivery of tailored business applications using JavaScript/TypeScript, Python, FastAPI, MERN, and Next.js, owning technical decisions on
performance, scalability, and UX.
Architected high-performance backend services connecting inference engines to client systems via robust APIs (Node.js, Python, FastAPI).
Built reusable components and multi-agent workflows (LangGraph, MCP) that accelerated project delivery timelines across engagements.

• Developed a robust multimedia content management platform inspired by Canva using the MERN stack, enhancing user experience and functionality.
• Implemented a versatile presentation canvas editor, enabling users to create and customize posters seamlessly.
• Facilitated cross-device compatibility, ensuring smooth broadcasting of content across various platforms.
• Integrated support for diverse data types, including images, videos, widgets, and text, broadening the platforms usability.
• Leveraged modern web technologies to optimize performance and scalability, aligning with industry best practices.
• Collaborated in an agile environment, improving team productivity and project delivery timelines.

• Developed a comprehensive cryptocurrency analytics platform that integrates wallet functionalities and price prediction algorithms.
• Implemented advanced charting features to visualize market trends and user balances effectively.
• Enhanced user experience by ensuring immediate access to critical market movements and predictive metrics.
• Leveraged full-stack development skills to create a seamless interface and robust backend architecture.
• Utilized machine learning techniques to improve price prediction accuracy, driving user engagement and satisfaction.
• Collaborated with cross-functional teams to optimize platform performance and scalability.
• Continuously monitored and analyzed user feedback to iterate on features and improve overall functionality.

• Designed and implemented an AI-powered travel booking platform, enhancing user experience for over 1, 000 clients.
• Engineered advanced itinerary generation features, streamlining travel planning processes.
• Integrated flight booking functionalities, improving efficiency and user satisfaction.
• Developed an AI support assistant to provide real-time assistance and enhance customer engagement.
• Implemented system notifications to keep users informed about their bookings and updates.
• Optimized payment workflows, ensuring secure and seamless transactions using PostgreSQL.
• Leveraged full-stack development skills to create a robust and scalable application architecture.

• Spearheaded the development of a cloud-native digital signage platform, facilitating visual content sharing for over 50K LED screens globally.
• Collaborated with major corporations like HP, Shell, and Nissan, enhancing user engagement for 100+ users.
• Engineered advanced authentication and authorization systems utilizing OAuth, JWT, SSO, and MFA, significantly boosting platform security and achieving 98% uptime.
• Migrated REST APIs to GraphQL, optimizing data payloads by 60% and improving content-update reliability to 90%.
• Developed a keen interest in machine learning, integrating AI-driven features to enhance user experience and content personalization.
• Continuously improved system performance and scalability, preparing for future advancements in full-stack development and machine learning.

Architected a global SaaS platform for enterprise-grade digital signage, powering real-time content delivery for high-profile
clients including Mercedes-Benz, Shell, and HP.
Engineered a real-time synchronization engine using Redis Pub/Sub and WebSockets, enabling sub-second content updates
across a worldwide fleet of thousands of LED screens.
Developed an automated media processing pipeline via serverless AWS architectures (Lambda, SQS, SNS), managing the
transcoding and distribution of 10, 000+ daily high-definition assets.
Hardened platform security by implementing OAuth2/OpenID Connect and granular Role-Based Access Control (RBAC),
utilizing AWS Secrets Manager to ensure zero-credential exposure.
Modernized frontend architecture using React and MUI, leveraging the Context API and code-splitting to reduce bundle sizes
by 45% and significantly enhance Core Web Vitals.
Established a Comprehensive Observability Stack using the ELK Stack and Sentry, reducing Mean Time to Recovery (MTTR)
by 60% through automated error tracking and centralized logging.
Spearheaded complex data migrations between distributed environments, ensuring the integrity and high availability of
multimedia assets.
Hardened platform security by architecting a Zero-Trust authentication layer utilizing OAuth2, SSO, and enterprise-grade
MFA, ensuring 100% compliance with corporate security standards for enterprise clients
Established distributed caching and synchronization mechanisms to improve performance and scalability.
Mentored 2 junior developers through structured code reviews and architectural workshops, contributing to a 30% increase
in overall team velocity.

Led end-to-end development of a SaaS digital signage and media management platform, powering real-time broadcasting across 10, 000+
LED screens for enterprise clients including Shell, HP, Carrefour, and Nissan.
Built a synchronization engine ensuring reliable connectivity between the central server and player fleet, enabling instant media/playlist
updates and automated proactive alerts.
Engineered a high-performance transcoding pipeline (Redis, BullMQ) processing thousands of daily compression/optimization jobs with
dynamic broadcast scheduling.
Designed a multi-zone scene composition engine supporting flexible layouts, real-time previews, and complex scheduling across
heterogeneous display geometries.
Implemented local caching and offline playback to guarantee uninterrupted streaming during network outages.
Led containerization and a multi-cloud deployment strategy (AWS, GCP, Azure) with CI/CD pipelines, cutting deployment times by 30%.
Built centralized observability with the ELK stack for logging and monitoring, automating anomaly detection and cutting MTTR by 50%.
Migrated the frontend to TypeScript and React/Vite.js on Cloudflare Workers, reducing bundle size by 45% and doubling interaction
responsiveness.
Migrated legacy REST APIs to a unified GraphQL layer, added integration test coverage (Jest), integrated Sentry for monitoring, and
strengthened security with SSO, OAuth2, and MFA.
Set code quality standards, led code reviews, and mentored a junior developer to full operational independence.

Structured a digital workspace management and visual content composition module for a B2B platform using MERN Stack.
Created a rendering architecture to ensure cross-platform compatibility across heterogeneous display environments.
Constructed RESTful APIs for visual resource management, leveraging AWS S3 for asset storage.
Participated in code reviews, debugging, and testing to improve software quality and maintainability.

Developed a hybrid internet signal diagnostic application, transforming complex infrastructure data into intuitive visual
workflows for enterprise networks
Transformed complex infrastructure and connectivity data into intuitive visual workflows and dashboards, enabling faster
issue identification.

• Collaborated on the development of a scalable content management system utilizing AWS services.
• Streamlined data processing workflows to efficiently handle over 2, 000 records daily.
• Achieved a significant 70% reduction in media resolution time, enhancing overall system performance.
• Gained hands-on experience with cloud technologies, improving my technical skills in full stack development.
• Contributed to optimizing backend processes, ensuring seamless integration with front-end applications.
• Engaged in team discussions to implement machine learning algorithms for data analysis and insights.
• Developed a strong foundation in both software engineering principles and machine learning methodologies.

Created network monitoring tools and telemetry dashboards, enhancing incident detection and infrastructure visibility.

• Engineered critical functionalities for an asset tracking platform utilizing the MERN Stack, enhancing overall system performance.
• Achieved a 40% reduction in data visualization latency, significantly improving user experience and responsiveness.
• Optimized connectivity issues, leading to a 50% decrease in resolution time, fostering seamless user interactions.
• Collaborated with cross-functional teams to integrate machine learning algorithms, enhancing predictive analytics capabilities.
• Contributed to the full software development lifecycle, ensuring robust and scalable solutions for end-users.
• Engaged in code reviews and testing processes, promoting best practices in software development and deployment.

Designed and developed features for a core IoT platform dedicated to IT asset oversight.
Streamlined data collection pipelines and improved software quality through automated testing.