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Ismail Ait-LahssenIA

Ismail Ait-Lahssen

MLOps & Data Pipelines Engineer

€590/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ismail

**AWS Certified Cloud, Data, and AI Engineer**, I help companies and startups industrialize their artificial intelligence systems and automate their business processes.


My goal is to transform your data and AI models into reliable, scalable, and actionable production systems.

My technical scope:
Python, FastAPI, AWS (Lambda, Glue, S3, Athena), Terraform, Docker, CI/CD, data pipelines, LLM (Claude API), and document extraction.

What I build on projects:
  • Industrialization of data pipelines and robust ETL architectures
  • Production AI workflows: automation of ingestion, structured extraction, and classification from documents (Emails, PDFs)
  • Web services, serverless architectures, and APIs with FastAPI
  • Secure integration, synchronization, and automation of tools (CRM, Notion, third-party APIs)

My approach:
I start with the business needs, not the technology. I identify the real friction points and security constraints (GDPR) before writing the first line of code.
The solutions I deliver are simple, tested via CI/CD, documented, and maintained by the teams without me.

Available for long-term development, automation, and integration projects (Hybrid Paris or remote format).
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

  • Chinese

    Basic

Can work on-site
Paris (up to 50km), Lyon (up to 20km), Nice (up to 10km), Rennes (up to 30km)

Experience

  • Reflexion Capital
    Freelance AI & Automation Engineer
    PRIVATE EQUITY
    February 2026 - Today (6 months)
    Paris, France
    Design and deployment of a complete automation architecture for a venture capital fund, withNotionas the central system andClaude APIas the intelligence layer.

    Development of an autonomous Gmail → Notion agent for automatic ingestion of incoming deal flow, structured extraction from emails and PDFs, and enrichment of company profiles.

    Construction of modular company fact sheets (team, product, traction, GTM, P&L) generated from Notion data and meeting notes via Notion AI.

    Implementation of automated reporting workflows: quarterly deal flow dashboard, weekly meeting preparation digest, daily summary of ongoing actions.

    Implementation of a system for detecting and correcting missing or incorrect CRM entries via Notion Workers.
    Python Claude API Notion Gmail API Artificial Intelligence
  • Themison
    Machine Learning Engineer
    MEDICAL
    July 2024 - February 2026 (1 year and 7 months)
    Copenhagen, Denmark
    Design and deployment of a real-time monitoring system with automated interventions on clinical and behavioral data.

    Predictive modeling of patient risk (K-Means, GMM, DBSCAN) which contributed to a 22% reduction in clinical trial dropout rates.

    Processing of sensitive data in compliance with GDPR/HIPAA on AWS infrastructure.
    Python Machine learning AWS Glue GDPR Data Pipeline
  • Keyrus
    ML Engineer
    SOFTWARE PUBLISHING
    March 2022 - September 2023 (1 year and 6 months)
    Levallois-Perret, France
    Analysis of business processes and identification of friction points in customer retention workflows.

    Consolidation of multi-source data and construction of structured datasets ready for modeling.

    Development and evaluation of predictive models (Logistic Regression, Decision Trees, Random Forest, SVM, K-Means) to anticipate churn and guide commercial decisions.

    Delivery of actionable insights that contributed to the improvement of customer retention strategies.
    Machine learning Data Cleaning Data transformation Data Modeling Scikit-learn

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Education

  • Master M2 - Big Data & Data Mining
    Université Paris 8
    2024
    Formation spécialisée en traitement de données massives, apprentissage automatique et fouille de données sur architectures distribuées. Programme couvrant les bases de données distribuées, les frameworks Big Data (Hadoop, Spark), la modélisation prédictive et l'extraction de connaissances à partir de données structurées et non structurées, avec un ancrage fort sur les mathématiques appliquées et les systèmes d'information.
  • Engineering of Ubiquitous and Distributed Systems – Cloud & IoT
    Institut National des Postes et Télécommunications - INPT
    2022
    Formation d'ingénieur spécialisée dans la conception et le déploiement de systèmes distribués, d'architectures cloud et de solutions IoT. Programme couvrant l'informatique en nuage, les réseaux de télécommunications, les systèmes embarqués, la virtualisation et la sécurité des infrastructures numérique, avec une orientation forte vers la digitalisation des entreprises et l'ingénierie des systèmes connectés à grande échelle.

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