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Haroun A.HA

Haroun A.

Full-Stack & ML Engineer | LLM / RAG Pipelines |

600 €/jour
Bruxelles, BE
3-7 ans

Délai de réponse moyen : 1h

À propos de Haroun

I help startups and companies design and build AI/LLM-powered applications: RAG pipelines, FastAPI microservices, and full-stack dashboards (React/Next.js + Tailwind).
With experience in a YC-backed startup (Nexus), public sector modernization (DB2 migration, APIs), and medical AI research (CNN, imaging), I combine hands-on engineering with product thinking.
My focus: ship fast prototypes, scale reliable pipelines, and bridge AI research with productio
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Néerlandais

    Capacité professionnelle limitée

Accepte de travailler sur site
Bruxelles (jusqu’à 50 km)

Expériences

  • Public Sector
    ProductOwner / Software Modernization
    août 2024 - Aujourd'hui (1 an et 10 mois)
    Belgium
    • Leading modernization of financial management systems (DB2 migrations, legacy refactor into APIs).
    • Designed theoretical software architecture and supervised a team of 3 developers.
    • Wrote SQL queries and migration logic to ensure data consistency.
    • Defined business features and aligned dev team with administrators and legal requirements.
    SQL Gestion de projet Business analysis
  • YC startup
    ML/Full-Stack Engineer
    décembre 2023 - juin 2024 (6 mois)
    • Shipped AI/LLM workflows as containerized servers (RunPod deployments).
    • Designed summarization & chunking strategies for RAG pipelines.
    • Built FastAPI microservices and managed queues (Kafka).
    • Developed workarounds for restrictions affecting EU users.
    • Implemented KPIs to monitor server load and performance.
    • Prototyped frontend components (React + TailwindCSS).
    • Explored voice integrations (Microsoft Speech API, ElevenLabs).
    • Translated business requirements into LLM-oriented solutions.
    FastAPI LLMOps Docker RAG
  • Université libre de Bruxelles
    Computer Vision Researcher – Medical Imaging
    décembre 2022 - novembre 2023 (11 mois)
    • Conducted one year of applied research on CNNs for medical image analysis.
    • Built reproducible pipelines: dataset preprocessing, CNN training, and model evaluation.
    • Applied rigorous methodology and experimental design.
    Education Systems, Research, and Universities Analyse de données CNN intelligence artificielle

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Formations

  • Master of Engineering in computer Science
    Université Libre de Bruxelles (ULB)
    2022
    Summa Cum Laude
  • Exchange Program in Computer Science
    Keio University
    2022
    Exchange Program in Computer Science GPA 4/4

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