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Tatiana S. — Senior AI & Data Engineer from Belgium

Tatiana S.

Senior AI & Data Engineer

Belgium 6+ years
Open to offersNew to Platform
Languages
EnglishPortuguese
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About

Tatiana S., a Senior Data Engineer based in Brussels, Belgium, boasts over 7 years of experience in deploying Machine Learning solutions in high-complexity environments. A former McKinsey engineer, Tatiana has demonstrated expertise in building secure, scalable knowledge management platforms, particularly within the banking sector. Her proficiency extends across Azure and AWS technologies, including Terraform, Docker, and Kubernetes. In her role at Jetpack.AI, Tatiana led initiatives to containerize AI services and implement automated monitoring solutions, ensuring model accuracy and minimizing data drift. Her work in high-scale banking environments with QuantumBlack necessitated strict adherence to security and compliance standards, leveraging tools like Kedro for streamlined ML codebase management and GitLab-CI for continuous integration. Additionally, Tatiana's innovative contributions include co-inventing a patented thermal data processing system. With fluency in English and native Portuguese skills, she continues to evolve her expertise in IT and AI infrastructure.

Experience

  • Senior AI & Data Engineer

    Jetpack.AI · 2022 — 2025
    Deployed scalable AI services on Azure and AWS by utilizing Terraform and Containers. Automated monitoring and logging were implemented to maintain production observability. Managed complex dependency environments with Uv and Conda to guarantee zero-conflict deployments in resource-constrained run infrastructures.
  • Digital Analyst & Data Engineer

    McKinsey & Company (QuantumBlack) · 2019 — 2022
    Architected production-grade ML solutions for Tier-1 Banks, ensuring compliance with security, ACL propagation, and auditability standards. Employed Kedro to guarantee modular and reproducible ML codebases tailored for IT production hand-over. Integrated GitLab-CI pipelines to automate testing and deployment processes for financial models, minimizing manual errors.
  • Data Scientist & Data Engineer

    Virtus (HP Inc.) · 2017 — 2019
    Developed large-scale telemetry pipelines for millions of devices to create models predicting hardware failures and optimizing maintenance cycles. Participated in the co-invention of a system for processing thermal data for system grading. Created executive dashboards to translate complex statistical findings into actionable insights.

Skills & Expertise

Education

  • Bachelor of Computer Science
    unknown · 2013 — 2018