About Ismail
- 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)
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Chinese
Basic
Experience
- Reflexion CapitalFreelance AI & Automation EngineerPRIVATE EQUITYFebruary 2026 - Today (6 months)Paris, FranceDesign 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.
- ThemisonMachine Learning EngineerMEDICALJuly 2024 - February 2026 (1 year and 7 months)Copenhagen, DenmarkDesign 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.
- KeyrusML EngineerSOFTWARE PUBLISHINGMarch 2022 - September 2023 (1 year and 6 months)Levallois-Perret, FranceAnalysis 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.
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Education
- Master M2 - Big Data & Data MiningUniversité Paris 82024Formation 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 & IoTInstitut National des Postes et Télécommunications - INPT2022Formation 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.
Certifications
- AWS Solutions Architect AssociateAmazon Web Services2021
- Microsoft Certified: Azure FundamentalsMicrosoft2022