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Ayoub Alouan

@ayoubalouan

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I build scalable Java and Spring Boot platforms, AI-powered data workflows, and responsive React applications.

Morocco

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What I'm looking for

I'm looking to leverage my software engineering, data, and AI expertise on challenging technical projects involving scalable microservices, secure APIs, cloud deployment, and intelligent automation.

I've contributed to DataPull at iaweb.dev, a multi-agent B2B/B2C prospecting and lead-analysis platform, building REST APIs, AI-agent workflows, ETL pipelines, and React data visualizations.

I optimized a Spring Boot, React, and AWS platform to achieve over 99.9% availability and response times below 150 ms. I also helped design microservices capable of handling up to 1,000 requests per minute.

My work combines Java and Spring Boot backend development with Python Flask, CrewAI, LLM integration, Elasticsearch, PostgreSQL, Docker, AWS, and Keycloak. I bring a strong focus on secure APIs, performance, automation, and software quality.

I've also delivered full-stack leave-management and school-management applications using Spring Boot, Angular, React, Django, and Django REST Framework. I'm looking to apply this blend of software engineering, data, and AI work to challenging technical projects.

Experience

Work history, roles, and key accomplishments

Software engineering and Data science

iaweb.dev

Aug 2025 - Dec 2025 (4 months)

Contribution à l’évolution de DataPull, plateforme multi-agents de prospection et d’analyse de leads B2B/B2C. Développement d’APIs REST en Python (Flask) et orchestration d’agents IA avec CrewAI et LLMs pour automatiser l’analyse des requêtes et les workflows de prospection. Intégration de pipelines ETL et développement d’interfaces ReactJS pour la visualisation des données. Optimisation de la pla

Python Flask Crew AI LLM ETL Spring Boot AWS

Software engineering

iaweb.dev

Feb 2025 - Aug 2025 (6 months)

Participation au développement de DataPull, une plateforme de prospection B2B/B2C basée sur la donnée et l’IA. Mise en place d’une architecture microservices avec Spring Boot (Gateway, B2B, B2C, Users) capable de gérer jusqu’à 1 000 requêtes/minute. Conception d’un pipeline ETL traitant plus de 500K leads/jour et intégration Elasticsearch + PostgreSQL pour la recherche temps réel. Développement du

Intern in Web Development

Cour of apeal

Jul 2024 - Sep 2024 (2 months)

Development of a full-stack leave management web application using Spring Boot for the backend and Angular for the frontend.
Design and development: Creation of a leave management application, with a RESTful architecture using Spring Boot for the backend and React for the frontend.
Core features: Leave request management, hierarchical approvals, real-time notifications, and leave statistics.
Resu