Hamza Missaoui

– Architected scalable serverless solutions using Next.js, Node.js, and TypeScript, leveraging GraphQL for efficient data fetching. – Developed and deployed ML-driven features to automate marketing workflows and enhance personalized e-commerce experiences

– Built cloud-native and SaaS applications using Next.js, Node.js, Web3.js, AWS and A/LLMs. – Developed a cryptocurrency price prediction platform featuring ML-based indicators, historical market analytics, real-time interactive charts, premium subscriptions, and an AI chatbot. – Designed scalable backend services and real-time data pipelines to support live market feeds and predictive analytics.

– Architected an AI-driven travel orchestration platform using Nest.js and PostgreSQL to handle high-concurrency booking workflows for 1,000+ active users. – Orchestrated end-to-end itinerary generation via LLMs, slashing manual planning time by 99% (from hours to < 30 seconds. – Streamlined relational data models and indexing strategies, boosting query performance by 35% while maintaining 100% transactional consistency.

– Led the development of a flagship Digital Signage SaaS platform serving 1,000+ users, scaling infrastructure to broadcast media across 50,000+ LED screens and distributed endpoints for enterprise clients including Shell, HP, Carrefour, and Nissan. – Established a robust Multi-Cloud (AWS/GCP/Azure) environment using Docker, reaching 90% uptime and accelerating deployment cycles by 30%. – Enhanced frontend performance by replacing legacy builds with React/Vite.js and TypeScript, resulting in a 45% reduction in initial bundle size and 2x faster Time to Interactive. – Designed a high-throughput background system using Redis/BullMQ to manage thousands of daily jobs, including automated content transcoding. – Centralized system observability via ELK Stack, cutting Mean Time to Resolution by 50% through real-time log aggregation. – Fortified enterprise portals with SSO, OAuth2, and MFA, ensuring 100% compliance with Tier-1 corporate data privacy standards. – Refined edge delivery speed by 25% by deploying Cloudflare Workers for serverless logic and instant content validation. – Diminished regression defects by 40% by instituting Jest testing, structured peer reviews, and improved engineering standards. – Launched real-time monitoring and operational runbooks, resulting in a 70% increase in overall system reliability. – Mentored the engineering team through code reviews and pair programming, increasing team delivery throughput by 30%

– Developed posters creator and data visualization platform using TS, MERN Stack, GraphQL and more tools, enabling real-time workspace management for digital content. – Implemented canvas editor for medias composing and broadcasting on LED screens and multi-devices, supporting seamless content delivery across heterogeneous display environments

– Collaborated with the IT team to engineer a web-based diagnostics platform that transformed complex infrastructure data into intuitive visual workflows for enterprise-grade networking environments. – Shortened issue identification cycles by streamlining the visualization of network connectivity, significantly enhancing overall system usability and reliability.

– Contributed in development of asset monitoring and supervision platform design and core components focused on real-time system status and performance tracking. – Built and optimized data visualization modules for live monitoring dashboards, improving responsiveness and observability.