//MD

Resume

AI Engineer & Data Scientist based in Paris, France. Experience across generative AI, data science, and production ML systems.

Experience

  1. Mindlapse logo

    AI Engineer Intern

    Mindlapse

    Apr. 2026 – Oct. 2026

    Paris, France

    • Designed, containerized, and deployed FastAPI microservices for a multi-tenant cybersecurity compliance platform.
    • Built RAG pipelines and multi-agent workflows (LangGraph / LangChain) via AWS Bedrock / LiteLLM to support CISO and TPRM workflows, including vendor documentation analysis, security questionnaire preparation, evidence summarization, and third-party risk assessment.
    • Developed evaluation and benchmarking harnesses to monitor model quality and drift, informing technical decisions with measurable evidence.
    • Improved critical pipeline performance and strengthened security through CVE remediation, multi-tenant isolation, observability, and CI/CD.
  2. Société Générale via Alenia Consulting logo

    Data Scientist / AI Consultant Intern

    Société Générale via Alenia Consulting

    Apr. 2024 – Oct. 2024

    Paris, France

    • Architected an intelligent coding agent (LangGraph) to query technical documentation and automate DevOps and data engineering tasks.
    • Automated generation of CI/CD configurations (Jenkins, Docker, Kubernetes), reducing turnaround from several hours to approximately three minutes.
    • Improved generated-code accuracy from 55% to 90% through iterative prompt engineering and continuous evaluation prior to production deployment.
  3. EY (Ernst & Young) logo

    Data Analyst Intern

    EY (Ernst & Young)

    Jun. 2022 – Sep. 2022

    Istanbul, Turkey

    • Worked in the Forensic Technology & Discovery Services department and cleaned and reconciled ERP data with SQL, then applied statistical analysis and NLP semantic filters in Python to identify high-risk financial flows.
  4. Yapi Kredi logo

    Credit Risk Modeling Intern

    Yapi Kredi

    Feb. 2022 – May 2022

    Istanbul, Turkey

    • Developed probability-of-default models using XGBoost and logistic regression to anticipate credit default trends.
    • Migrated risk workflows from SAS to Python, improving maintainability and reporting execution speed.

Education

  • Université Paris-Saclay logo

    Université Paris-Saclay

    M.Sc. in Data Science

    Sep. 2025 – Sep. 2026

  • Sorbonne Université logo

    Sorbonne Université

    M.Sc. in Applied Mathematics

    Sep. 2022 – Sep. 2024

  • École Polytechnique logo

    École Polytechnique

    Exchange Program in Mathematics and Informatics

    Jan. 2020 – Jul. 2020

  • Bosphorus University logo

    Bosphorus University

    M.Sc. in Mathematics (dropped out)

    Sep. 2021 – Sep. 2022

  • Bosphorus University logo

    Bosphorus University

    B.Sc. in Mathematics

    Sep. 2016 – Jul. 2021

Contact

dursunoglumahir@gmail.com · LinkedIn · GitHub